Upload folder using huggingface_hub
Browse files- lora_wiki/README.md +202 -0
- lora_wiki/adapter_config.json +33 -0
- lora_wiki/adapter_model.safetensors +3 -0
- lora_wiki/optimizer.pt +3 -0
- lora_wiki/rng_state.pth +3 -0
- lora_wiki/scheduler.pt +3 -0
- lora_wiki/special_tokens_map.json +24 -0
- lora_wiki/tokenizer.json +0 -0
- lora_wiki/tokenizer.model +3 -0
- lora_wiki/tokenizer_config.json +42 -0
- lora_wiki/trainer_state.json +3021 -0
- lora_wiki/training_args.bin +3 -0
lora_wiki/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: /home/llm_compression/Quantization/Ebft/llama-2-13b-ebft-sparsegpt-2@4-wiki-block-outlier
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.9.0
|
lora_wiki/adapter_config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/home/llm_compression/Quantization/Ebft/llama-2-13b-ebft-sparsegpt-2@4-wiki-block-outlier",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layers_pattern": null,
|
| 10 |
+
"layers_to_transform": null,
|
| 11 |
+
"loftq_config": {},
|
| 12 |
+
"lora_alpha": 32,
|
| 13 |
+
"lora_dropout": 0.1,
|
| 14 |
+
"megatron_config": null,
|
| 15 |
+
"megatron_core": "megatron.core",
|
| 16 |
+
"modules_to_save": null,
|
| 17 |
+
"peft_type": "LORA",
|
| 18 |
+
"r": 64,
|
| 19 |
+
"rank_pattern": {},
|
| 20 |
+
"revision": null,
|
| 21 |
+
"target_modules": [
|
| 22 |
+
"k_proj",
|
| 23 |
+
"down_proj",
|
| 24 |
+
"q_proj",
|
| 25 |
+
"up_proj",
|
| 26 |
+
"o_proj",
|
| 27 |
+
"v_proj",
|
| 28 |
+
"gate_proj"
|
| 29 |
+
],
|
| 30 |
+
"task_type": "CAUSAL_LM",
|
| 31 |
+
"use_dora": false,
|
| 32 |
+
"use_rslora": false
|
| 33 |
+
}
|
lora_wiki/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e07c640893f49f14c2e3acf14ea6cc5ffcf63965be040b998d6747b8b9697571
|
| 3 |
+
size 500771216
|
lora_wiki/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:56882a7fb33c12ccccbc6a25dc7bcb3f0f5dd748fc4efb667085f8019d13eb46
|
| 3 |
+
size 1001863522
|
lora_wiki/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93caf95b56146e3ec014501a35383f309b58b54311f0ab68370f1344a380ace8
|
| 3 |
+
size 14244
|
lora_wiki/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:804313fcf5eb7df1c2808319014a74abe62db8d2c2b80e85464884a6da5c013e
|
| 3 |
+
size 1064
|
lora_wiki/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
lora_wiki/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
lora_wiki/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
lora_wiki/tokenizer_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"bos_token": "<s>",
|
| 31 |
+
"clean_up_tokenization_spaces": false,
|
| 32 |
+
"eos_token": "</s>",
|
| 33 |
+
"legacy": false,
|
| 34 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 35 |
+
"pad_token": "</s>",
|
| 36 |
+
"padding_side": "right",
|
| 37 |
+
"sp_model_kwargs": {},
|
| 38 |
+
"spaces_between_special_tokens": false,
|
| 39 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 40 |
+
"unk_token": "<unk>",
|
| 41 |
+
"use_default_system_prompt": false
|
| 42 |
+
}
|
lora_wiki/trainer_state.json
ADDED
|
@@ -0,0 +1,3021 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 11.594202898550725,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 500,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.02,
|
| 13 |
+
"learning_rate": 3.75e-06,
|
| 14 |
+
"loss": 2.7206,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.05,
|
| 19 |
+
"learning_rate": 7.5e-06,
|
| 20 |
+
"loss": 2.684,
|
| 21 |
+
"step": 2
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.07,
|
| 25 |
+
"learning_rate": 1.125e-05,
|
| 26 |
+
"loss": 2.6516,
|
| 27 |
+
"step": 3
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.09,
|
| 31 |
+
"learning_rate": 1.5e-05,
|
| 32 |
+
"loss": 2.6536,
|
| 33 |
+
"step": 4
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.12,
|
| 37 |
+
"learning_rate": 1.8750000000000002e-05,
|
| 38 |
+
"loss": 2.6302,
|
| 39 |
+
"step": 5
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.14,
|
| 43 |
+
"learning_rate": 2.25e-05,
|
| 44 |
+
"loss": 2.6208,
|
| 45 |
+
"step": 6
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.16,
|
| 49 |
+
"learning_rate": 2.625e-05,
|
| 50 |
+
"loss": 2.6994,
|
| 51 |
+
"step": 7
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.19,
|
| 55 |
+
"learning_rate": 3e-05,
|
| 56 |
+
"loss": 2.571,
|
| 57 |
+
"step": 8
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.21,
|
| 61 |
+
"learning_rate": 2.9939024390243903e-05,
|
| 62 |
+
"loss": 2.677,
|
| 63 |
+
"step": 9
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.23,
|
| 67 |
+
"learning_rate": 2.9878048780487805e-05,
|
| 68 |
+
"loss": 2.5728,
|
| 69 |
+
"step": 10
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.26,
|
| 73 |
+
"learning_rate": 2.9817073170731707e-05,
|
| 74 |
+
"loss": 2.5775,
|
| 75 |
+
"step": 11
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.28,
|
| 79 |
+
"learning_rate": 2.975609756097561e-05,
|
| 80 |
+
"loss": 2.435,
|
| 81 |
+
"step": 12
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.3,
|
| 85 |
+
"learning_rate": 2.9695121951219515e-05,
|
| 86 |
+
"loss": 2.4939,
|
| 87 |
+
"step": 13
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.32,
|
| 91 |
+
"learning_rate": 2.9634146341463413e-05,
|
| 92 |
+
"loss": 2.5009,
|
| 93 |
+
"step": 14
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.35,
|
| 97 |
+
"learning_rate": 2.9573170731707316e-05,
|
| 98 |
+
"loss": 2.3682,
|
| 99 |
+
"step": 15
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.37,
|
| 103 |
+
"learning_rate": 2.951219512195122e-05,
|
| 104 |
+
"loss": 2.4358,
|
| 105 |
+
"step": 16
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.39,
|
| 109 |
+
"learning_rate": 2.9451219512195123e-05,
|
| 110 |
+
"loss": 2.3722,
|
| 111 |
+
"step": 17
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.42,
|
| 115 |
+
"learning_rate": 2.9390243902439022e-05,
|
| 116 |
+
"loss": 2.3568,
|
| 117 |
+
"step": 18
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.44,
|
| 121 |
+
"learning_rate": 2.9329268292682927e-05,
|
| 122 |
+
"loss": 2.3391,
|
| 123 |
+
"step": 19
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.46,
|
| 127 |
+
"learning_rate": 2.926829268292683e-05,
|
| 128 |
+
"loss": 2.2861,
|
| 129 |
+
"step": 20
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.49,
|
| 133 |
+
"learning_rate": 2.9207317073170735e-05,
|
| 134 |
+
"loss": 2.2382,
|
| 135 |
+
"step": 21
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.51,
|
| 139 |
+
"learning_rate": 2.9146341463414634e-05,
|
| 140 |
+
"loss": 2.2406,
|
| 141 |
+
"step": 22
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.53,
|
| 145 |
+
"learning_rate": 2.9085365853658536e-05,
|
| 146 |
+
"loss": 2.1747,
|
| 147 |
+
"step": 23
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.56,
|
| 151 |
+
"learning_rate": 2.902439024390244e-05,
|
| 152 |
+
"loss": 2.1267,
|
| 153 |
+
"step": 24
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.58,
|
| 157 |
+
"learning_rate": 2.8963414634146343e-05,
|
| 158 |
+
"loss": 2.0771,
|
| 159 |
+
"step": 25
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.6,
|
| 163 |
+
"learning_rate": 2.8902439024390242e-05,
|
| 164 |
+
"loss": 2.0295,
|
| 165 |
+
"step": 26
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.63,
|
| 169 |
+
"learning_rate": 2.8841463414634148e-05,
|
| 170 |
+
"loss": 1.9776,
|
| 171 |
+
"step": 27
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.65,
|
| 175 |
+
"learning_rate": 2.878048780487805e-05,
|
| 176 |
+
"loss": 2.0177,
|
| 177 |
+
"step": 28
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.67,
|
| 181 |
+
"learning_rate": 2.8719512195121952e-05,
|
| 182 |
+
"loss": 1.9347,
|
| 183 |
+
"step": 29
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.7,
|
| 187 |
+
"learning_rate": 2.8658536585365854e-05,
|
| 188 |
+
"loss": 1.8558,
|
| 189 |
+
"step": 30
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.72,
|
| 193 |
+
"learning_rate": 2.8597560975609756e-05,
|
| 194 |
+
"loss": 1.7986,
|
| 195 |
+
"step": 31
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.74,
|
| 199 |
+
"learning_rate": 2.8536585365853658e-05,
|
| 200 |
+
"loss": 1.9177,
|
| 201 |
+
"step": 32
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.77,
|
| 205 |
+
"learning_rate": 2.8475609756097564e-05,
|
| 206 |
+
"loss": 1.8742,
|
| 207 |
+
"step": 33
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.79,
|
| 211 |
+
"learning_rate": 2.8414634146341462e-05,
|
| 212 |
+
"loss": 1.8643,
|
| 213 |
+
"step": 34
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.81,
|
| 217 |
+
"learning_rate": 2.8353658536585365e-05,
|
| 218 |
+
"loss": 1.8977,
|
| 219 |
+
"step": 35
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.83,
|
| 223 |
+
"learning_rate": 2.829268292682927e-05,
|
| 224 |
+
"loss": 1.8979,
|
| 225 |
+
"step": 36
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.86,
|
| 229 |
+
"learning_rate": 2.8231707317073172e-05,
|
| 230 |
+
"loss": 1.8805,
|
| 231 |
+
"step": 37
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.88,
|
| 235 |
+
"learning_rate": 2.817073170731707e-05,
|
| 236 |
+
"loss": 1.8588,
|
| 237 |
+
"step": 38
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 0.9,
|
| 241 |
+
"learning_rate": 2.8109756097560976e-05,
|
| 242 |
+
"loss": 1.8544,
|
| 243 |
+
"step": 39
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 0.93,
|
| 247 |
+
"learning_rate": 2.804878048780488e-05,
|
| 248 |
+
"loss": 1.9302,
|
| 249 |
+
"step": 40
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.95,
|
| 253 |
+
"learning_rate": 2.7987804878048784e-05,
|
| 254 |
+
"loss": 1.8892,
|
| 255 |
+
"step": 41
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.97,
|
| 259 |
+
"learning_rate": 2.7926829268292683e-05,
|
| 260 |
+
"loss": 1.9172,
|
| 261 |
+
"step": 42
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.0,
|
| 265 |
+
"learning_rate": 2.7865853658536585e-05,
|
| 266 |
+
"loss": 1.8473,
|
| 267 |
+
"step": 43
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 1.02,
|
| 271 |
+
"learning_rate": 2.780487804878049e-05,
|
| 272 |
+
"loss": 1.9268,
|
| 273 |
+
"step": 44
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 1.04,
|
| 277 |
+
"learning_rate": 2.7743902439024393e-05,
|
| 278 |
+
"loss": 1.883,
|
| 279 |
+
"step": 45
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 1.07,
|
| 283 |
+
"learning_rate": 2.768292682926829e-05,
|
| 284 |
+
"loss": 1.7924,
|
| 285 |
+
"step": 46
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 1.09,
|
| 289 |
+
"learning_rate": 2.7621951219512197e-05,
|
| 290 |
+
"loss": 1.8695,
|
| 291 |
+
"step": 47
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 1.11,
|
| 295 |
+
"learning_rate": 2.75609756097561e-05,
|
| 296 |
+
"loss": 1.8546,
|
| 297 |
+
"step": 48
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 1.14,
|
| 301 |
+
"learning_rate": 2.75e-05,
|
| 302 |
+
"loss": 1.8523,
|
| 303 |
+
"step": 49
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.16,
|
| 307 |
+
"learning_rate": 2.7439024390243903e-05,
|
| 308 |
+
"loss": 1.8296,
|
| 309 |
+
"step": 50
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 1.18,
|
| 313 |
+
"learning_rate": 2.7378048780487805e-05,
|
| 314 |
+
"loss": 1.8107,
|
| 315 |
+
"step": 51
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 1.21,
|
| 319 |
+
"learning_rate": 2.7317073170731707e-05,
|
| 320 |
+
"loss": 1.8148,
|
| 321 |
+
"step": 52
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 1.23,
|
| 325 |
+
"learning_rate": 2.7256097560975613e-05,
|
| 326 |
+
"loss": 1.8614,
|
| 327 |
+
"step": 53
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 1.25,
|
| 331 |
+
"learning_rate": 2.719512195121951e-05,
|
| 332 |
+
"loss": 1.809,
|
| 333 |
+
"step": 54
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 1.28,
|
| 337 |
+
"learning_rate": 2.7134146341463414e-05,
|
| 338 |
+
"loss": 1.864,
|
| 339 |
+
"step": 55
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.3,
|
| 343 |
+
"learning_rate": 2.707317073170732e-05,
|
| 344 |
+
"loss": 1.8293,
|
| 345 |
+
"step": 56
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 1.32,
|
| 349 |
+
"learning_rate": 2.701219512195122e-05,
|
| 350 |
+
"loss": 1.7953,
|
| 351 |
+
"step": 57
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 1.34,
|
| 355 |
+
"learning_rate": 2.695121951219512e-05,
|
| 356 |
+
"loss": 1.8589,
|
| 357 |
+
"step": 58
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 1.37,
|
| 361 |
+
"learning_rate": 2.6890243902439026e-05,
|
| 362 |
+
"loss": 1.823,
|
| 363 |
+
"step": 59
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 1.39,
|
| 367 |
+
"learning_rate": 2.6829268292682928e-05,
|
| 368 |
+
"loss": 1.8179,
|
| 369 |
+
"step": 60
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 1.41,
|
| 373 |
+
"learning_rate": 2.6768292682926833e-05,
|
| 374 |
+
"loss": 1.8067,
|
| 375 |
+
"step": 61
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 1.44,
|
| 379 |
+
"learning_rate": 2.6707317073170732e-05,
|
| 380 |
+
"loss": 1.8504,
|
| 381 |
+
"step": 62
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.46,
|
| 385 |
+
"learning_rate": 2.6646341463414634e-05,
|
| 386 |
+
"loss": 1.8022,
|
| 387 |
+
"step": 63
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.48,
|
| 391 |
+
"learning_rate": 2.658536585365854e-05,
|
| 392 |
+
"loss": 1.8041,
|
| 393 |
+
"step": 64
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 1.51,
|
| 397 |
+
"learning_rate": 2.652439024390244e-05,
|
| 398 |
+
"loss": 1.8239,
|
| 399 |
+
"step": 65
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 1.53,
|
| 403 |
+
"learning_rate": 2.646341463414634e-05,
|
| 404 |
+
"loss": 1.8227,
|
| 405 |
+
"step": 66
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 1.55,
|
| 409 |
+
"learning_rate": 2.6402439024390246e-05,
|
| 410 |
+
"loss": 1.8529,
|
| 411 |
+
"step": 67
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 1.58,
|
| 415 |
+
"learning_rate": 2.6341463414634148e-05,
|
| 416 |
+
"loss": 1.7482,
|
| 417 |
+
"step": 68
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 1.6,
|
| 421 |
+
"learning_rate": 2.628048780487805e-05,
|
| 422 |
+
"loss": 1.8416,
|
| 423 |
+
"step": 69
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.62,
|
| 427 |
+
"learning_rate": 2.6219512195121952e-05,
|
| 428 |
+
"loss": 1.7873,
|
| 429 |
+
"step": 70
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 1.65,
|
| 433 |
+
"learning_rate": 2.6158536585365854e-05,
|
| 434 |
+
"loss": 1.822,
|
| 435 |
+
"step": 71
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 1.67,
|
| 439 |
+
"learning_rate": 2.6097560975609756e-05,
|
| 440 |
+
"loss": 1.8091,
|
| 441 |
+
"step": 72
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 1.69,
|
| 445 |
+
"learning_rate": 2.603658536585366e-05,
|
| 446 |
+
"loss": 1.8374,
|
| 447 |
+
"step": 73
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 1.72,
|
| 451 |
+
"learning_rate": 2.597560975609756e-05,
|
| 452 |
+
"loss": 1.817,
|
| 453 |
+
"step": 74
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 1.74,
|
| 457 |
+
"learning_rate": 2.5914634146341463e-05,
|
| 458 |
+
"loss": 1.8901,
|
| 459 |
+
"step": 75
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 1.76,
|
| 463 |
+
"learning_rate": 2.5853658536585368e-05,
|
| 464 |
+
"loss": 1.8328,
|
| 465 |
+
"step": 76
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.79,
|
| 469 |
+
"learning_rate": 2.5792682926829267e-05,
|
| 470 |
+
"loss": 1.7765,
|
| 471 |
+
"step": 77
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 1.81,
|
| 475 |
+
"learning_rate": 2.573170731707317e-05,
|
| 476 |
+
"loss": 1.8467,
|
| 477 |
+
"step": 78
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 1.83,
|
| 481 |
+
"learning_rate": 2.5670731707317075e-05,
|
| 482 |
+
"loss": 1.7744,
|
| 483 |
+
"step": 79
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 1.86,
|
| 487 |
+
"learning_rate": 2.5609756097560977e-05,
|
| 488 |
+
"loss": 1.8339,
|
| 489 |
+
"step": 80
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 1.88,
|
| 493 |
+
"learning_rate": 2.554878048780488e-05,
|
| 494 |
+
"loss": 1.7938,
|
| 495 |
+
"step": 81
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 1.9,
|
| 499 |
+
"learning_rate": 2.548780487804878e-05,
|
| 500 |
+
"loss": 1.7924,
|
| 501 |
+
"step": 82
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 1.92,
|
| 505 |
+
"learning_rate": 2.5426829268292683e-05,
|
| 506 |
+
"loss": 1.8299,
|
| 507 |
+
"step": 83
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.95,
|
| 511 |
+
"learning_rate": 2.536585365853659e-05,
|
| 512 |
+
"loss": 1.8395,
|
| 513 |
+
"step": 84
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 1.97,
|
| 517 |
+
"learning_rate": 2.5304878048780487e-05,
|
| 518 |
+
"loss": 1.8822,
|
| 519 |
+
"step": 85
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 1.99,
|
| 523 |
+
"learning_rate": 2.524390243902439e-05,
|
| 524 |
+
"loss": 1.7888,
|
| 525 |
+
"step": 86
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 2.02,
|
| 529 |
+
"learning_rate": 2.5182926829268295e-05,
|
| 530 |
+
"loss": 1.795,
|
| 531 |
+
"step": 87
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 2.04,
|
| 535 |
+
"learning_rate": 2.5121951219512197e-05,
|
| 536 |
+
"loss": 1.77,
|
| 537 |
+
"step": 88
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 2.06,
|
| 541 |
+
"learning_rate": 2.5060975609756096e-05,
|
| 542 |
+
"loss": 1.7786,
|
| 543 |
+
"step": 89
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 2.09,
|
| 547 |
+
"learning_rate": 2.5e-05,
|
| 548 |
+
"loss": 1.7744,
|
| 549 |
+
"step": 90
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 2.11,
|
| 553 |
+
"learning_rate": 2.4939024390243903e-05,
|
| 554 |
+
"loss": 1.7446,
|
| 555 |
+
"step": 91
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 2.13,
|
| 559 |
+
"learning_rate": 2.4878048780487805e-05,
|
| 560 |
+
"loss": 1.8626,
|
| 561 |
+
"step": 92
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 2.16,
|
| 565 |
+
"learning_rate": 2.4817073170731708e-05,
|
| 566 |
+
"loss": 1.7787,
|
| 567 |
+
"step": 93
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 2.18,
|
| 571 |
+
"learning_rate": 2.475609756097561e-05,
|
| 572 |
+
"loss": 1.7287,
|
| 573 |
+
"step": 94
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 2.2,
|
| 577 |
+
"learning_rate": 2.4695121951219512e-05,
|
| 578 |
+
"loss": 1.7796,
|
| 579 |
+
"step": 95
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 2.23,
|
| 583 |
+
"learning_rate": 2.4634146341463417e-05,
|
| 584 |
+
"loss": 1.7212,
|
| 585 |
+
"step": 96
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 2.25,
|
| 589 |
+
"learning_rate": 2.4573170731707316e-05,
|
| 590 |
+
"loss": 1.7868,
|
| 591 |
+
"step": 97
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 2.27,
|
| 595 |
+
"learning_rate": 2.4512195121951218e-05,
|
| 596 |
+
"loss": 1.8183,
|
| 597 |
+
"step": 98
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 2.3,
|
| 601 |
+
"learning_rate": 2.4451219512195124e-05,
|
| 602 |
+
"loss": 1.8631,
|
| 603 |
+
"step": 99
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"epoch": 2.32,
|
| 607 |
+
"learning_rate": 2.4390243902439026e-05,
|
| 608 |
+
"loss": 1.758,
|
| 609 |
+
"step": 100
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 2.34,
|
| 613 |
+
"learning_rate": 2.4329268292682928e-05,
|
| 614 |
+
"loss": 1.847,
|
| 615 |
+
"step": 101
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 2.37,
|
| 619 |
+
"learning_rate": 2.426829268292683e-05,
|
| 620 |
+
"loss": 1.7564,
|
| 621 |
+
"step": 102
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 2.39,
|
| 625 |
+
"learning_rate": 2.4207317073170732e-05,
|
| 626 |
+
"loss": 1.7109,
|
| 627 |
+
"step": 103
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 2.41,
|
| 631 |
+
"learning_rate": 2.4146341463414638e-05,
|
| 632 |
+
"loss": 1.8215,
|
| 633 |
+
"step": 104
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 2.43,
|
| 637 |
+
"learning_rate": 2.4085365853658536e-05,
|
| 638 |
+
"loss": 1.7932,
|
| 639 |
+
"step": 105
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 2.46,
|
| 643 |
+
"learning_rate": 2.402439024390244e-05,
|
| 644 |
+
"loss": 1.8008,
|
| 645 |
+
"step": 106
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 2.48,
|
| 649 |
+
"learning_rate": 2.3963414634146344e-05,
|
| 650 |
+
"loss": 1.7476,
|
| 651 |
+
"step": 107
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 2.5,
|
| 655 |
+
"learning_rate": 2.3902439024390246e-05,
|
| 656 |
+
"loss": 1.8335,
|
| 657 |
+
"step": 108
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 2.53,
|
| 661 |
+
"learning_rate": 2.3841463414634145e-05,
|
| 662 |
+
"loss": 1.7774,
|
| 663 |
+
"step": 109
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"epoch": 2.55,
|
| 667 |
+
"learning_rate": 2.378048780487805e-05,
|
| 668 |
+
"loss": 1.8368,
|
| 669 |
+
"step": 110
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 2.57,
|
| 673 |
+
"learning_rate": 2.3719512195121952e-05,
|
| 674 |
+
"loss": 1.8047,
|
| 675 |
+
"step": 111
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 2.6,
|
| 679 |
+
"learning_rate": 2.3658536585365854e-05,
|
| 680 |
+
"loss": 1.7115,
|
| 681 |
+
"step": 112
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 2.62,
|
| 685 |
+
"learning_rate": 2.3597560975609757e-05,
|
| 686 |
+
"loss": 1.7686,
|
| 687 |
+
"step": 113
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 2.64,
|
| 691 |
+
"learning_rate": 2.353658536585366e-05,
|
| 692 |
+
"loss": 1.8349,
|
| 693 |
+
"step": 114
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"epoch": 2.67,
|
| 697 |
+
"learning_rate": 2.347560975609756e-05,
|
| 698 |
+
"loss": 1.8707,
|
| 699 |
+
"step": 115
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 2.69,
|
| 703 |
+
"learning_rate": 2.3414634146341466e-05,
|
| 704 |
+
"loss": 1.7401,
|
| 705 |
+
"step": 116
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 2.71,
|
| 709 |
+
"learning_rate": 2.3353658536585365e-05,
|
| 710 |
+
"loss": 1.8248,
|
| 711 |
+
"step": 117
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 2.74,
|
| 715 |
+
"learning_rate": 2.3292682926829267e-05,
|
| 716 |
+
"loss": 1.7727,
|
| 717 |
+
"step": 118
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 2.76,
|
| 721 |
+
"learning_rate": 2.3231707317073173e-05,
|
| 722 |
+
"loss": 1.7742,
|
| 723 |
+
"step": 119
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 2.78,
|
| 727 |
+
"learning_rate": 2.3170731707317075e-05,
|
| 728 |
+
"loss": 1.8031,
|
| 729 |
+
"step": 120
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 2.81,
|
| 733 |
+
"learning_rate": 2.3109756097560977e-05,
|
| 734 |
+
"loss": 1.7742,
|
| 735 |
+
"step": 121
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 2.83,
|
| 739 |
+
"learning_rate": 2.304878048780488e-05,
|
| 740 |
+
"loss": 1.7579,
|
| 741 |
+
"step": 122
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 2.85,
|
| 745 |
+
"learning_rate": 2.298780487804878e-05,
|
| 746 |
+
"loss": 1.7899,
|
| 747 |
+
"step": 123
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 2.88,
|
| 751 |
+
"learning_rate": 2.2926829268292687e-05,
|
| 752 |
+
"loss": 1.8548,
|
| 753 |
+
"step": 124
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 2.9,
|
| 757 |
+
"learning_rate": 2.2865853658536585e-05,
|
| 758 |
+
"loss": 1.8221,
|
| 759 |
+
"step": 125
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 2.92,
|
| 763 |
+
"learning_rate": 2.2804878048780487e-05,
|
| 764 |
+
"loss": 1.746,
|
| 765 |
+
"step": 126
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 2.94,
|
| 769 |
+
"learning_rate": 2.2743902439024393e-05,
|
| 770 |
+
"loss": 1.828,
|
| 771 |
+
"step": 127
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 2.97,
|
| 775 |
+
"learning_rate": 2.2682926829268295e-05,
|
| 776 |
+
"loss": 1.7211,
|
| 777 |
+
"step": 128
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 2.99,
|
| 781 |
+
"learning_rate": 2.2621951219512194e-05,
|
| 782 |
+
"loss": 1.7862,
|
| 783 |
+
"step": 129
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 3.01,
|
| 787 |
+
"learning_rate": 2.25609756097561e-05,
|
| 788 |
+
"loss": 1.773,
|
| 789 |
+
"step": 130
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 3.04,
|
| 793 |
+
"learning_rate": 2.25e-05,
|
| 794 |
+
"loss": 1.7275,
|
| 795 |
+
"step": 131
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 3.06,
|
| 799 |
+
"learning_rate": 2.2439024390243904e-05,
|
| 800 |
+
"loss": 1.8262,
|
| 801 |
+
"step": 132
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 3.08,
|
| 805 |
+
"learning_rate": 2.2378048780487806e-05,
|
| 806 |
+
"loss": 1.8266,
|
| 807 |
+
"step": 133
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 3.11,
|
| 811 |
+
"learning_rate": 2.2317073170731708e-05,
|
| 812 |
+
"loss": 1.7451,
|
| 813 |
+
"step": 134
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 3.13,
|
| 817 |
+
"learning_rate": 2.225609756097561e-05,
|
| 818 |
+
"loss": 1.7745,
|
| 819 |
+
"step": 135
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 3.15,
|
| 823 |
+
"learning_rate": 2.2195121951219512e-05,
|
| 824 |
+
"loss": 1.7747,
|
| 825 |
+
"step": 136
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 3.18,
|
| 829 |
+
"learning_rate": 2.2134146341463414e-05,
|
| 830 |
+
"loss": 1.7363,
|
| 831 |
+
"step": 137
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 3.2,
|
| 835 |
+
"learning_rate": 2.2073170731707316e-05,
|
| 836 |
+
"loss": 1.7959,
|
| 837 |
+
"step": 138
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 3.22,
|
| 841 |
+
"learning_rate": 2.2012195121951222e-05,
|
| 842 |
+
"loss": 1.8242,
|
| 843 |
+
"step": 139
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 3.25,
|
| 847 |
+
"learning_rate": 2.195121951219512e-05,
|
| 848 |
+
"loss": 1.8019,
|
| 849 |
+
"step": 140
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 3.27,
|
| 853 |
+
"learning_rate": 2.1890243902439023e-05,
|
| 854 |
+
"loss": 1.6679,
|
| 855 |
+
"step": 141
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 3.29,
|
| 859 |
+
"learning_rate": 2.1829268292682928e-05,
|
| 860 |
+
"loss": 1.759,
|
| 861 |
+
"step": 142
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 3.32,
|
| 865 |
+
"learning_rate": 2.176829268292683e-05,
|
| 866 |
+
"loss": 1.7868,
|
| 867 |
+
"step": 143
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 3.34,
|
| 871 |
+
"learning_rate": 2.1707317073170732e-05,
|
| 872 |
+
"loss": 1.7854,
|
| 873 |
+
"step": 144
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 3.36,
|
| 877 |
+
"learning_rate": 2.1646341463414634e-05,
|
| 878 |
+
"loss": 1.771,
|
| 879 |
+
"step": 145
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 3.39,
|
| 883 |
+
"learning_rate": 2.1585365853658537e-05,
|
| 884 |
+
"loss": 1.9048,
|
| 885 |
+
"step": 146
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 3.41,
|
| 889 |
+
"learning_rate": 2.1524390243902442e-05,
|
| 890 |
+
"loss": 1.7546,
|
| 891 |
+
"step": 147
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 3.43,
|
| 895 |
+
"learning_rate": 2.146341463414634e-05,
|
| 896 |
+
"loss": 1.7828,
|
| 897 |
+
"step": 148
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 3.46,
|
| 901 |
+
"learning_rate": 2.1402439024390243e-05,
|
| 902 |
+
"loss": 1.8289,
|
| 903 |
+
"step": 149
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"epoch": 3.48,
|
| 907 |
+
"learning_rate": 2.134146341463415e-05,
|
| 908 |
+
"loss": 1.7711,
|
| 909 |
+
"step": 150
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 3.5,
|
| 913 |
+
"learning_rate": 2.128048780487805e-05,
|
| 914 |
+
"loss": 1.6396,
|
| 915 |
+
"step": 151
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 3.52,
|
| 919 |
+
"learning_rate": 2.121951219512195e-05,
|
| 920 |
+
"loss": 1.7875,
|
| 921 |
+
"step": 152
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 3.55,
|
| 925 |
+
"learning_rate": 2.1158536585365855e-05,
|
| 926 |
+
"loss": 1.8275,
|
| 927 |
+
"step": 153
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 3.57,
|
| 931 |
+
"learning_rate": 2.1097560975609757e-05,
|
| 932 |
+
"loss": 1.8101,
|
| 933 |
+
"step": 154
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 3.59,
|
| 937 |
+
"learning_rate": 2.103658536585366e-05,
|
| 938 |
+
"loss": 1.7118,
|
| 939 |
+
"step": 155
|
| 940 |
+
},
|
| 941 |
+
{
|
| 942 |
+
"epoch": 3.62,
|
| 943 |
+
"learning_rate": 2.097560975609756e-05,
|
| 944 |
+
"loss": 1.7557,
|
| 945 |
+
"step": 156
|
| 946 |
+
},
|
| 947 |
+
{
|
| 948 |
+
"epoch": 3.64,
|
| 949 |
+
"learning_rate": 2.0914634146341463e-05,
|
| 950 |
+
"loss": 1.7096,
|
| 951 |
+
"step": 157
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 3.66,
|
| 955 |
+
"learning_rate": 2.0853658536585365e-05,
|
| 956 |
+
"loss": 1.7679,
|
| 957 |
+
"step": 158
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 3.69,
|
| 961 |
+
"learning_rate": 2.079268292682927e-05,
|
| 962 |
+
"loss": 1.7331,
|
| 963 |
+
"step": 159
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 3.71,
|
| 967 |
+
"learning_rate": 2.073170731707317e-05,
|
| 968 |
+
"loss": 1.7297,
|
| 969 |
+
"step": 160
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 3.73,
|
| 973 |
+
"learning_rate": 2.067073170731707e-05,
|
| 974 |
+
"loss": 1.7053,
|
| 975 |
+
"step": 161
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 3.76,
|
| 979 |
+
"learning_rate": 2.0609756097560977e-05,
|
| 980 |
+
"loss": 1.8034,
|
| 981 |
+
"step": 162
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 3.78,
|
| 985 |
+
"learning_rate": 2.054878048780488e-05,
|
| 986 |
+
"loss": 1.7225,
|
| 987 |
+
"step": 163
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"epoch": 3.8,
|
| 991 |
+
"learning_rate": 2.048780487804878e-05,
|
| 992 |
+
"loss": 1.7832,
|
| 993 |
+
"step": 164
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"epoch": 3.83,
|
| 997 |
+
"learning_rate": 2.0426829268292683e-05,
|
| 998 |
+
"loss": 1.7637,
|
| 999 |
+
"step": 165
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 3.85,
|
| 1003 |
+
"learning_rate": 2.0365853658536586e-05,
|
| 1004 |
+
"loss": 1.7352,
|
| 1005 |
+
"step": 166
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 3.87,
|
| 1009 |
+
"learning_rate": 2.030487804878049e-05,
|
| 1010 |
+
"loss": 1.7327,
|
| 1011 |
+
"step": 167
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 3.9,
|
| 1015 |
+
"learning_rate": 2.024390243902439e-05,
|
| 1016 |
+
"loss": 1.8375,
|
| 1017 |
+
"step": 168
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 3.92,
|
| 1021 |
+
"learning_rate": 2.0182926829268292e-05,
|
| 1022 |
+
"loss": 1.645,
|
| 1023 |
+
"step": 169
|
| 1024 |
+
},
|
| 1025 |
+
{
|
| 1026 |
+
"epoch": 3.94,
|
| 1027 |
+
"learning_rate": 2.0121951219512197e-05,
|
| 1028 |
+
"loss": 1.7703,
|
| 1029 |
+
"step": 170
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"epoch": 3.97,
|
| 1033 |
+
"learning_rate": 2.00609756097561e-05,
|
| 1034 |
+
"loss": 1.7079,
|
| 1035 |
+
"step": 171
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 3.99,
|
| 1039 |
+
"learning_rate": 1.9999999999999998e-05,
|
| 1040 |
+
"loss": 1.7571,
|
| 1041 |
+
"step": 172
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 4.01,
|
| 1045 |
+
"learning_rate": 1.9939024390243904e-05,
|
| 1046 |
+
"loss": 1.7639,
|
| 1047 |
+
"step": 173
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 4.03,
|
| 1051 |
+
"learning_rate": 1.9878048780487806e-05,
|
| 1052 |
+
"loss": 1.8075,
|
| 1053 |
+
"step": 174
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 4.06,
|
| 1057 |
+
"learning_rate": 1.9817073170731708e-05,
|
| 1058 |
+
"loss": 1.8085,
|
| 1059 |
+
"step": 175
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 4.08,
|
| 1063 |
+
"learning_rate": 1.975609756097561e-05,
|
| 1064 |
+
"loss": 1.7387,
|
| 1065 |
+
"step": 176
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 4.1,
|
| 1069 |
+
"learning_rate": 1.9695121951219512e-05,
|
| 1070 |
+
"loss": 1.7481,
|
| 1071 |
+
"step": 177
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 4.13,
|
| 1075 |
+
"learning_rate": 1.9634146341463414e-05,
|
| 1076 |
+
"loss": 1.7584,
|
| 1077 |
+
"step": 178
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"epoch": 4.15,
|
| 1081 |
+
"learning_rate": 1.957317073170732e-05,
|
| 1082 |
+
"loss": 1.7236,
|
| 1083 |
+
"step": 179
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 4.17,
|
| 1087 |
+
"learning_rate": 1.951219512195122e-05,
|
| 1088 |
+
"loss": 1.7655,
|
| 1089 |
+
"step": 180
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 4.2,
|
| 1093 |
+
"learning_rate": 1.945121951219512e-05,
|
| 1094 |
+
"loss": 1.8124,
|
| 1095 |
+
"step": 181
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 4.22,
|
| 1099 |
+
"learning_rate": 1.9390243902439026e-05,
|
| 1100 |
+
"loss": 1.8303,
|
| 1101 |
+
"step": 182
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 4.24,
|
| 1105 |
+
"learning_rate": 1.9329268292682928e-05,
|
| 1106 |
+
"loss": 1.7559,
|
| 1107 |
+
"step": 183
|
| 1108 |
+
},
|
| 1109 |
+
{
|
| 1110 |
+
"epoch": 4.27,
|
| 1111 |
+
"learning_rate": 1.926829268292683e-05,
|
| 1112 |
+
"loss": 1.7389,
|
| 1113 |
+
"step": 184
|
| 1114 |
+
},
|
| 1115 |
+
{
|
| 1116 |
+
"epoch": 4.29,
|
| 1117 |
+
"learning_rate": 1.9207317073170733e-05,
|
| 1118 |
+
"loss": 1.7959,
|
| 1119 |
+
"step": 185
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 4.31,
|
| 1123 |
+
"learning_rate": 1.9146341463414635e-05,
|
| 1124 |
+
"loss": 1.6804,
|
| 1125 |
+
"step": 186
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 4.34,
|
| 1129 |
+
"learning_rate": 1.908536585365854e-05,
|
| 1130 |
+
"loss": 1.7551,
|
| 1131 |
+
"step": 187
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 4.36,
|
| 1135 |
+
"learning_rate": 1.902439024390244e-05,
|
| 1136 |
+
"loss": 1.7571,
|
| 1137 |
+
"step": 188
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 4.38,
|
| 1141 |
+
"learning_rate": 1.896341463414634e-05,
|
| 1142 |
+
"loss": 1.7574,
|
| 1143 |
+
"step": 189
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 4.41,
|
| 1147 |
+
"learning_rate": 1.8902439024390246e-05,
|
| 1148 |
+
"loss": 1.783,
|
| 1149 |
+
"step": 190
|
| 1150 |
+
},
|
| 1151 |
+
{
|
| 1152 |
+
"epoch": 4.43,
|
| 1153 |
+
"learning_rate": 1.884146341463415e-05,
|
| 1154 |
+
"loss": 1.6842,
|
| 1155 |
+
"step": 191
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"epoch": 4.45,
|
| 1159 |
+
"learning_rate": 1.8780487804878047e-05,
|
| 1160 |
+
"loss": 1.7003,
|
| 1161 |
+
"step": 192
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 4.48,
|
| 1165 |
+
"learning_rate": 1.8719512195121953e-05,
|
| 1166 |
+
"loss": 1.7196,
|
| 1167 |
+
"step": 193
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 4.5,
|
| 1171 |
+
"learning_rate": 1.8658536585365855e-05,
|
| 1172 |
+
"loss": 1.7115,
|
| 1173 |
+
"step": 194
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 4.52,
|
| 1177 |
+
"learning_rate": 1.8597560975609754e-05,
|
| 1178 |
+
"loss": 1.7117,
|
| 1179 |
+
"step": 195
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 4.54,
|
| 1183 |
+
"learning_rate": 1.853658536585366e-05,
|
| 1184 |
+
"loss": 1.7564,
|
| 1185 |
+
"step": 196
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 4.57,
|
| 1189 |
+
"learning_rate": 1.847560975609756e-05,
|
| 1190 |
+
"loss": 1.7808,
|
| 1191 |
+
"step": 197
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"epoch": 4.59,
|
| 1195 |
+
"learning_rate": 1.8414634146341463e-05,
|
| 1196 |
+
"loss": 1.772,
|
| 1197 |
+
"step": 198
|
| 1198 |
+
},
|
| 1199 |
+
{
|
| 1200 |
+
"epoch": 4.61,
|
| 1201 |
+
"learning_rate": 1.8353658536585365e-05,
|
| 1202 |
+
"loss": 1.7877,
|
| 1203 |
+
"step": 199
|
| 1204 |
+
},
|
| 1205 |
+
{
|
| 1206 |
+
"epoch": 4.64,
|
| 1207 |
+
"learning_rate": 1.8292682926829268e-05,
|
| 1208 |
+
"loss": 1.6941,
|
| 1209 |
+
"step": 200
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 4.66,
|
| 1213 |
+
"learning_rate": 1.823170731707317e-05,
|
| 1214 |
+
"loss": 1.7701,
|
| 1215 |
+
"step": 201
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 4.68,
|
| 1219 |
+
"learning_rate": 1.8170731707317075e-05,
|
| 1220 |
+
"loss": 1.7685,
|
| 1221 |
+
"step": 202
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 4.71,
|
| 1225 |
+
"learning_rate": 1.8109756097560974e-05,
|
| 1226 |
+
"loss": 1.6768,
|
| 1227 |
+
"step": 203
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 4.73,
|
| 1231 |
+
"learning_rate": 1.804878048780488e-05,
|
| 1232 |
+
"loss": 1.7054,
|
| 1233 |
+
"step": 204
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"epoch": 4.75,
|
| 1237 |
+
"learning_rate": 1.798780487804878e-05,
|
| 1238 |
+
"loss": 1.7897,
|
| 1239 |
+
"step": 205
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 4.78,
|
| 1243 |
+
"learning_rate": 1.7926829268292684e-05,
|
| 1244 |
+
"loss": 1.7774,
|
| 1245 |
+
"step": 206
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 4.8,
|
| 1249 |
+
"learning_rate": 1.7865853658536586e-05,
|
| 1250 |
+
"loss": 1.7767,
|
| 1251 |
+
"step": 207
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 4.82,
|
| 1255 |
+
"learning_rate": 1.7804878048780488e-05,
|
| 1256 |
+
"loss": 1.6884,
|
| 1257 |
+
"step": 208
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 4.85,
|
| 1261 |
+
"learning_rate": 1.774390243902439e-05,
|
| 1262 |
+
"loss": 1.7654,
|
| 1263 |
+
"step": 209
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 4.87,
|
| 1267 |
+
"learning_rate": 1.7682926829268296e-05,
|
| 1268 |
+
"loss": 1.7349,
|
| 1269 |
+
"step": 210
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 4.89,
|
| 1273 |
+
"learning_rate": 1.7621951219512194e-05,
|
| 1274 |
+
"loss": 1.7421,
|
| 1275 |
+
"step": 211
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 4.92,
|
| 1279 |
+
"learning_rate": 1.7560975609756096e-05,
|
| 1280 |
+
"loss": 1.7641,
|
| 1281 |
+
"step": 212
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 4.94,
|
| 1285 |
+
"learning_rate": 1.7500000000000002e-05,
|
| 1286 |
+
"loss": 1.7444,
|
| 1287 |
+
"step": 213
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 4.96,
|
| 1291 |
+
"learning_rate": 1.7439024390243904e-05,
|
| 1292 |
+
"loss": 1.7639,
|
| 1293 |
+
"step": 214
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 4.99,
|
| 1297 |
+
"learning_rate": 1.7378048780487803e-05,
|
| 1298 |
+
"loss": 1.7508,
|
| 1299 |
+
"step": 215
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 5.01,
|
| 1303 |
+
"learning_rate": 1.7317073170731708e-05,
|
| 1304 |
+
"loss": 1.7603,
|
| 1305 |
+
"step": 216
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 5.03,
|
| 1309 |
+
"learning_rate": 1.725609756097561e-05,
|
| 1310 |
+
"loss": 1.7203,
|
| 1311 |
+
"step": 217
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 5.06,
|
| 1315 |
+
"learning_rate": 1.7195121951219512e-05,
|
| 1316 |
+
"loss": 1.7328,
|
| 1317 |
+
"step": 218
|
| 1318 |
+
},
|
| 1319 |
+
{
|
| 1320 |
+
"epoch": 5.08,
|
| 1321 |
+
"learning_rate": 1.7134146341463415e-05,
|
| 1322 |
+
"loss": 1.8253,
|
| 1323 |
+
"step": 219
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"epoch": 5.1,
|
| 1327 |
+
"learning_rate": 1.7073170731707317e-05,
|
| 1328 |
+
"loss": 1.7492,
|
| 1329 |
+
"step": 220
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 5.12,
|
| 1333 |
+
"learning_rate": 1.701219512195122e-05,
|
| 1334 |
+
"loss": 1.7739,
|
| 1335 |
+
"step": 221
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 5.15,
|
| 1339 |
+
"learning_rate": 1.6951219512195124e-05,
|
| 1340 |
+
"loss": 1.7258,
|
| 1341 |
+
"step": 222
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 5.17,
|
| 1345 |
+
"learning_rate": 1.6890243902439023e-05,
|
| 1346 |
+
"loss": 1.7339,
|
| 1347 |
+
"step": 223
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 5.19,
|
| 1351 |
+
"learning_rate": 1.682926829268293e-05,
|
| 1352 |
+
"loss": 1.7789,
|
| 1353 |
+
"step": 224
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 5.22,
|
| 1357 |
+
"learning_rate": 1.676829268292683e-05,
|
| 1358 |
+
"loss": 1.7346,
|
| 1359 |
+
"step": 225
|
| 1360 |
+
},
|
| 1361 |
+
{
|
| 1362 |
+
"epoch": 5.24,
|
| 1363 |
+
"learning_rate": 1.6707317073170733e-05,
|
| 1364 |
+
"loss": 1.7941,
|
| 1365 |
+
"step": 226
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 5.26,
|
| 1369 |
+
"learning_rate": 1.6646341463414635e-05,
|
| 1370 |
+
"loss": 1.6904,
|
| 1371 |
+
"step": 227
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 5.29,
|
| 1375 |
+
"learning_rate": 1.6585365853658537e-05,
|
| 1376 |
+
"loss": 1.8525,
|
| 1377 |
+
"step": 228
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 5.31,
|
| 1381 |
+
"learning_rate": 1.652439024390244e-05,
|
| 1382 |
+
"loss": 1.7641,
|
| 1383 |
+
"step": 229
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 5.33,
|
| 1387 |
+
"learning_rate": 1.6463414634146345e-05,
|
| 1388 |
+
"loss": 1.7432,
|
| 1389 |
+
"step": 230
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 5.36,
|
| 1393 |
+
"learning_rate": 1.6402439024390243e-05,
|
| 1394 |
+
"loss": 1.7141,
|
| 1395 |
+
"step": 231
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 5.38,
|
| 1399 |
+
"learning_rate": 1.6341463414634145e-05,
|
| 1400 |
+
"loss": 1.7716,
|
| 1401 |
+
"step": 232
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 5.4,
|
| 1405 |
+
"learning_rate": 1.628048780487805e-05,
|
| 1406 |
+
"loss": 1.7684,
|
| 1407 |
+
"step": 233
|
| 1408 |
+
},
|
| 1409 |
+
{
|
| 1410 |
+
"epoch": 5.43,
|
| 1411 |
+
"learning_rate": 1.6219512195121953e-05,
|
| 1412 |
+
"loss": 1.7804,
|
| 1413 |
+
"step": 234
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 5.45,
|
| 1417 |
+
"learning_rate": 1.6158536585365852e-05,
|
| 1418 |
+
"loss": 1.6874,
|
| 1419 |
+
"step": 235
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 5.47,
|
| 1423 |
+
"learning_rate": 1.6097560975609757e-05,
|
| 1424 |
+
"loss": 1.6911,
|
| 1425 |
+
"step": 236
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 5.5,
|
| 1429 |
+
"learning_rate": 1.603658536585366e-05,
|
| 1430 |
+
"loss": 1.7836,
|
| 1431 |
+
"step": 237
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 5.52,
|
| 1435 |
+
"learning_rate": 1.597560975609756e-05,
|
| 1436 |
+
"loss": 1.7066,
|
| 1437 |
+
"step": 238
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 5.54,
|
| 1441 |
+
"learning_rate": 1.5914634146341464e-05,
|
| 1442 |
+
"loss": 1.6592,
|
| 1443 |
+
"step": 239
|
| 1444 |
+
},
|
| 1445 |
+
{
|
| 1446 |
+
"epoch": 5.57,
|
| 1447 |
+
"learning_rate": 1.5853658536585366e-05,
|
| 1448 |
+
"loss": 1.6929,
|
| 1449 |
+
"step": 240
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 5.59,
|
| 1453 |
+
"learning_rate": 1.5792682926829268e-05,
|
| 1454 |
+
"loss": 1.7633,
|
| 1455 |
+
"step": 241
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 5.61,
|
| 1459 |
+
"learning_rate": 1.5731707317073173e-05,
|
| 1460 |
+
"loss": 1.7859,
|
| 1461 |
+
"step": 242
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 5.63,
|
| 1465 |
+
"learning_rate": 1.5670731707317072e-05,
|
| 1466 |
+
"loss": 1.7329,
|
| 1467 |
+
"step": 243
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"epoch": 5.66,
|
| 1471 |
+
"learning_rate": 1.5609756097560978e-05,
|
| 1472 |
+
"loss": 1.7143,
|
| 1473 |
+
"step": 244
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 5.68,
|
| 1477 |
+
"learning_rate": 1.554878048780488e-05,
|
| 1478 |
+
"loss": 1.758,
|
| 1479 |
+
"step": 245
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 5.7,
|
| 1483 |
+
"learning_rate": 1.5487804878048782e-05,
|
| 1484 |
+
"loss": 1.7799,
|
| 1485 |
+
"step": 246
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"epoch": 5.73,
|
| 1489 |
+
"learning_rate": 1.5426829268292684e-05,
|
| 1490 |
+
"loss": 1.7637,
|
| 1491 |
+
"step": 247
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 5.75,
|
| 1495 |
+
"learning_rate": 1.5365853658536586e-05,
|
| 1496 |
+
"loss": 1.7651,
|
| 1497 |
+
"step": 248
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 5.77,
|
| 1501 |
+
"learning_rate": 1.5304878048780488e-05,
|
| 1502 |
+
"loss": 1.7006,
|
| 1503 |
+
"step": 249
|
| 1504 |
+
},
|
| 1505 |
+
{
|
| 1506 |
+
"epoch": 5.8,
|
| 1507 |
+
"learning_rate": 1.5243902439024392e-05,
|
| 1508 |
+
"loss": 1.7411,
|
| 1509 |
+
"step": 250
|
| 1510 |
+
},
|
| 1511 |
+
{
|
| 1512 |
+
"epoch": 5.82,
|
| 1513 |
+
"learning_rate": 1.5182926829268294e-05,
|
| 1514 |
+
"loss": 1.7457,
|
| 1515 |
+
"step": 251
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 5.84,
|
| 1519 |
+
"learning_rate": 1.5121951219512194e-05,
|
| 1520 |
+
"loss": 1.7089,
|
| 1521 |
+
"step": 252
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 5.87,
|
| 1525 |
+
"learning_rate": 1.5060975609756098e-05,
|
| 1526 |
+
"loss": 1.7682,
|
| 1527 |
+
"step": 253
|
| 1528 |
+
},
|
| 1529 |
+
{
|
| 1530 |
+
"epoch": 5.89,
|
| 1531 |
+
"learning_rate": 1.5e-05,
|
| 1532 |
+
"loss": 1.7935,
|
| 1533 |
+
"step": 254
|
| 1534 |
+
},
|
| 1535 |
+
{
|
| 1536 |
+
"epoch": 5.91,
|
| 1537 |
+
"learning_rate": 1.4939024390243902e-05,
|
| 1538 |
+
"loss": 1.7548,
|
| 1539 |
+
"step": 255
|
| 1540 |
+
},
|
| 1541 |
+
{
|
| 1542 |
+
"epoch": 5.94,
|
| 1543 |
+
"learning_rate": 1.4878048780487805e-05,
|
| 1544 |
+
"loss": 1.6987,
|
| 1545 |
+
"step": 256
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 5.96,
|
| 1549 |
+
"learning_rate": 1.4817073170731707e-05,
|
| 1550 |
+
"loss": 1.7439,
|
| 1551 |
+
"step": 257
|
| 1552 |
+
},
|
| 1553 |
+
{
|
| 1554 |
+
"epoch": 5.98,
|
| 1555 |
+
"learning_rate": 1.475609756097561e-05,
|
| 1556 |
+
"loss": 1.6559,
|
| 1557 |
+
"step": 258
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 6.01,
|
| 1561 |
+
"learning_rate": 1.4695121951219511e-05,
|
| 1562 |
+
"loss": 1.7198,
|
| 1563 |
+
"step": 259
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 6.03,
|
| 1567 |
+
"learning_rate": 1.4634146341463415e-05,
|
| 1568 |
+
"loss": 1.7195,
|
| 1569 |
+
"step": 260
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 6.05,
|
| 1573 |
+
"learning_rate": 1.4573170731707317e-05,
|
| 1574 |
+
"loss": 1.6869,
|
| 1575 |
+
"step": 261
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"epoch": 6.08,
|
| 1579 |
+
"learning_rate": 1.451219512195122e-05,
|
| 1580 |
+
"loss": 1.742,
|
| 1581 |
+
"step": 262
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"epoch": 6.1,
|
| 1585 |
+
"learning_rate": 1.4451219512195121e-05,
|
| 1586 |
+
"loss": 1.7564,
|
| 1587 |
+
"step": 263
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"epoch": 6.12,
|
| 1591 |
+
"learning_rate": 1.4390243902439025e-05,
|
| 1592 |
+
"loss": 1.7543,
|
| 1593 |
+
"step": 264
|
| 1594 |
+
},
|
| 1595 |
+
{
|
| 1596 |
+
"epoch": 6.14,
|
| 1597 |
+
"learning_rate": 1.4329268292682927e-05,
|
| 1598 |
+
"loss": 1.7119,
|
| 1599 |
+
"step": 265
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 6.17,
|
| 1603 |
+
"learning_rate": 1.4268292682926829e-05,
|
| 1604 |
+
"loss": 1.7259,
|
| 1605 |
+
"step": 266
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 6.19,
|
| 1609 |
+
"learning_rate": 1.4207317073170731e-05,
|
| 1610 |
+
"loss": 1.7219,
|
| 1611 |
+
"step": 267
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"epoch": 6.21,
|
| 1615 |
+
"learning_rate": 1.4146341463414635e-05,
|
| 1616 |
+
"loss": 1.7553,
|
| 1617 |
+
"step": 268
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"epoch": 6.24,
|
| 1621 |
+
"learning_rate": 1.4085365853658535e-05,
|
| 1622 |
+
"loss": 1.7661,
|
| 1623 |
+
"step": 269
|
| 1624 |
+
},
|
| 1625 |
+
{
|
| 1626 |
+
"epoch": 6.26,
|
| 1627 |
+
"learning_rate": 1.402439024390244e-05,
|
| 1628 |
+
"loss": 1.7285,
|
| 1629 |
+
"step": 270
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"epoch": 6.28,
|
| 1633 |
+
"learning_rate": 1.3963414634146341e-05,
|
| 1634 |
+
"loss": 1.7312,
|
| 1635 |
+
"step": 271
|
| 1636 |
+
},
|
| 1637 |
+
{
|
| 1638 |
+
"epoch": 6.31,
|
| 1639 |
+
"learning_rate": 1.3902439024390245e-05,
|
| 1640 |
+
"loss": 1.7661,
|
| 1641 |
+
"step": 272
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 6.33,
|
| 1645 |
+
"learning_rate": 1.3841463414634146e-05,
|
| 1646 |
+
"loss": 1.697,
|
| 1647 |
+
"step": 273
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 6.35,
|
| 1651 |
+
"learning_rate": 1.378048780487805e-05,
|
| 1652 |
+
"loss": 1.7444,
|
| 1653 |
+
"step": 274
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"epoch": 6.38,
|
| 1657 |
+
"learning_rate": 1.3719512195121952e-05,
|
| 1658 |
+
"loss": 1.7111,
|
| 1659 |
+
"step": 275
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"epoch": 6.4,
|
| 1663 |
+
"learning_rate": 1.3658536585365854e-05,
|
| 1664 |
+
"loss": 1.7065,
|
| 1665 |
+
"step": 276
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 6.42,
|
| 1669 |
+
"learning_rate": 1.3597560975609756e-05,
|
| 1670 |
+
"loss": 1.7075,
|
| 1671 |
+
"step": 277
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"epoch": 6.45,
|
| 1675 |
+
"learning_rate": 1.353658536585366e-05,
|
| 1676 |
+
"loss": 1.7358,
|
| 1677 |
+
"step": 278
|
| 1678 |
+
},
|
| 1679 |
+
{
|
| 1680 |
+
"epoch": 6.47,
|
| 1681 |
+
"learning_rate": 1.347560975609756e-05,
|
| 1682 |
+
"loss": 1.7415,
|
| 1683 |
+
"step": 279
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 6.49,
|
| 1687 |
+
"learning_rate": 1.3414634146341464e-05,
|
| 1688 |
+
"loss": 1.7164,
|
| 1689 |
+
"step": 280
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 6.52,
|
| 1693 |
+
"learning_rate": 1.3353658536585366e-05,
|
| 1694 |
+
"loss": 1.8053,
|
| 1695 |
+
"step": 281
|
| 1696 |
+
},
|
| 1697 |
+
{
|
| 1698 |
+
"epoch": 6.54,
|
| 1699 |
+
"learning_rate": 1.329268292682927e-05,
|
| 1700 |
+
"loss": 1.7469,
|
| 1701 |
+
"step": 282
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 6.56,
|
| 1705 |
+
"learning_rate": 1.323170731707317e-05,
|
| 1706 |
+
"loss": 1.7505,
|
| 1707 |
+
"step": 283
|
| 1708 |
+
},
|
| 1709 |
+
{
|
| 1710 |
+
"epoch": 6.59,
|
| 1711 |
+
"learning_rate": 1.3170731707317074e-05,
|
| 1712 |
+
"loss": 1.7398,
|
| 1713 |
+
"step": 284
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"epoch": 6.61,
|
| 1717 |
+
"learning_rate": 1.3109756097560976e-05,
|
| 1718 |
+
"loss": 1.7827,
|
| 1719 |
+
"step": 285
|
| 1720 |
+
},
|
| 1721 |
+
{
|
| 1722 |
+
"epoch": 6.63,
|
| 1723 |
+
"learning_rate": 1.3048780487804878e-05,
|
| 1724 |
+
"loss": 1.7125,
|
| 1725 |
+
"step": 286
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 6.66,
|
| 1729 |
+
"learning_rate": 1.298780487804878e-05,
|
| 1730 |
+
"loss": 1.7549,
|
| 1731 |
+
"step": 287
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 6.68,
|
| 1735 |
+
"learning_rate": 1.2926829268292684e-05,
|
| 1736 |
+
"loss": 1.7557,
|
| 1737 |
+
"step": 288
|
| 1738 |
+
},
|
| 1739 |
+
{
|
| 1740 |
+
"epoch": 6.7,
|
| 1741 |
+
"learning_rate": 1.2865853658536585e-05,
|
| 1742 |
+
"loss": 1.7316,
|
| 1743 |
+
"step": 289
|
| 1744 |
+
},
|
| 1745 |
+
{
|
| 1746 |
+
"epoch": 6.72,
|
| 1747 |
+
"learning_rate": 1.2804878048780488e-05,
|
| 1748 |
+
"loss": 1.685,
|
| 1749 |
+
"step": 290
|
| 1750 |
+
},
|
| 1751 |
+
{
|
| 1752 |
+
"epoch": 6.75,
|
| 1753 |
+
"learning_rate": 1.274390243902439e-05,
|
| 1754 |
+
"loss": 1.7574,
|
| 1755 |
+
"step": 291
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"epoch": 6.77,
|
| 1759 |
+
"learning_rate": 1.2682926829268294e-05,
|
| 1760 |
+
"loss": 1.6433,
|
| 1761 |
+
"step": 292
|
| 1762 |
+
},
|
| 1763 |
+
{
|
| 1764 |
+
"epoch": 6.79,
|
| 1765 |
+
"learning_rate": 1.2621951219512195e-05,
|
| 1766 |
+
"loss": 1.7176,
|
| 1767 |
+
"step": 293
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 6.82,
|
| 1771 |
+
"learning_rate": 1.2560975609756098e-05,
|
| 1772 |
+
"loss": 1.763,
|
| 1773 |
+
"step": 294
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 6.84,
|
| 1777 |
+
"learning_rate": 1.25e-05,
|
| 1778 |
+
"loss": 1.7773,
|
| 1779 |
+
"step": 295
|
| 1780 |
+
},
|
| 1781 |
+
{
|
| 1782 |
+
"epoch": 6.86,
|
| 1783 |
+
"learning_rate": 1.2439024390243903e-05,
|
| 1784 |
+
"loss": 1.6899,
|
| 1785 |
+
"step": 296
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 6.89,
|
| 1789 |
+
"learning_rate": 1.2378048780487805e-05,
|
| 1790 |
+
"loss": 1.802,
|
| 1791 |
+
"step": 297
|
| 1792 |
+
},
|
| 1793 |
+
{
|
| 1794 |
+
"epoch": 6.91,
|
| 1795 |
+
"learning_rate": 1.2317073170731709e-05,
|
| 1796 |
+
"loss": 1.8587,
|
| 1797 |
+
"step": 298
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"epoch": 6.93,
|
| 1801 |
+
"learning_rate": 1.2256097560975609e-05,
|
| 1802 |
+
"loss": 1.717,
|
| 1803 |
+
"step": 299
|
| 1804 |
+
},
|
| 1805 |
+
{
|
| 1806 |
+
"epoch": 6.96,
|
| 1807 |
+
"learning_rate": 1.2195121951219513e-05,
|
| 1808 |
+
"loss": 1.6992,
|
| 1809 |
+
"step": 300
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 6.98,
|
| 1813 |
+
"learning_rate": 1.2134146341463415e-05,
|
| 1814 |
+
"loss": 1.7576,
|
| 1815 |
+
"step": 301
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 7.0,
|
| 1819 |
+
"learning_rate": 1.2073170731707319e-05,
|
| 1820 |
+
"loss": 1.72,
|
| 1821 |
+
"step": 302
|
| 1822 |
+
},
|
| 1823 |
+
{
|
| 1824 |
+
"epoch": 7.03,
|
| 1825 |
+
"learning_rate": 1.201219512195122e-05,
|
| 1826 |
+
"loss": 1.768,
|
| 1827 |
+
"step": 303
|
| 1828 |
+
},
|
| 1829 |
+
{
|
| 1830 |
+
"epoch": 7.05,
|
| 1831 |
+
"learning_rate": 1.1951219512195123e-05,
|
| 1832 |
+
"loss": 1.6928,
|
| 1833 |
+
"step": 304
|
| 1834 |
+
},
|
| 1835 |
+
{
|
| 1836 |
+
"epoch": 7.07,
|
| 1837 |
+
"learning_rate": 1.1890243902439025e-05,
|
| 1838 |
+
"loss": 1.715,
|
| 1839 |
+
"step": 305
|
| 1840 |
+
},
|
| 1841 |
+
{
|
| 1842 |
+
"epoch": 7.1,
|
| 1843 |
+
"learning_rate": 1.1829268292682927e-05,
|
| 1844 |
+
"loss": 1.7393,
|
| 1845 |
+
"step": 306
|
| 1846 |
+
},
|
| 1847 |
+
{
|
| 1848 |
+
"epoch": 7.12,
|
| 1849 |
+
"learning_rate": 1.176829268292683e-05,
|
| 1850 |
+
"loss": 1.8024,
|
| 1851 |
+
"step": 307
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 7.14,
|
| 1855 |
+
"learning_rate": 1.1707317073170733e-05,
|
| 1856 |
+
"loss": 1.726,
|
| 1857 |
+
"step": 308
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 7.17,
|
| 1861 |
+
"learning_rate": 1.1646341463414634e-05,
|
| 1862 |
+
"loss": 1.7083,
|
| 1863 |
+
"step": 309
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"epoch": 7.19,
|
| 1867 |
+
"learning_rate": 1.1585365853658537e-05,
|
| 1868 |
+
"loss": 1.7329,
|
| 1869 |
+
"step": 310
|
| 1870 |
+
},
|
| 1871 |
+
{
|
| 1872 |
+
"epoch": 7.21,
|
| 1873 |
+
"learning_rate": 1.152439024390244e-05,
|
| 1874 |
+
"loss": 1.7504,
|
| 1875 |
+
"step": 311
|
| 1876 |
+
},
|
| 1877 |
+
{
|
| 1878 |
+
"epoch": 7.23,
|
| 1879 |
+
"learning_rate": 1.1463414634146343e-05,
|
| 1880 |
+
"loss": 1.6896,
|
| 1881 |
+
"step": 312
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 7.26,
|
| 1885 |
+
"learning_rate": 1.1402439024390244e-05,
|
| 1886 |
+
"loss": 1.747,
|
| 1887 |
+
"step": 313
|
| 1888 |
+
},
|
| 1889 |
+
{
|
| 1890 |
+
"epoch": 7.28,
|
| 1891 |
+
"learning_rate": 1.1341463414634148e-05,
|
| 1892 |
+
"loss": 1.7692,
|
| 1893 |
+
"step": 314
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 7.3,
|
| 1897 |
+
"learning_rate": 1.128048780487805e-05,
|
| 1898 |
+
"loss": 1.6974,
|
| 1899 |
+
"step": 315
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 7.33,
|
| 1903 |
+
"learning_rate": 1.1219512195121952e-05,
|
| 1904 |
+
"loss": 1.7561,
|
| 1905 |
+
"step": 316
|
| 1906 |
+
},
|
| 1907 |
+
{
|
| 1908 |
+
"epoch": 7.35,
|
| 1909 |
+
"learning_rate": 1.1158536585365854e-05,
|
| 1910 |
+
"loss": 1.7144,
|
| 1911 |
+
"step": 317
|
| 1912 |
+
},
|
| 1913 |
+
{
|
| 1914 |
+
"epoch": 7.37,
|
| 1915 |
+
"learning_rate": 1.1097560975609756e-05,
|
| 1916 |
+
"loss": 1.7411,
|
| 1917 |
+
"step": 318
|
| 1918 |
+
},
|
| 1919 |
+
{
|
| 1920 |
+
"epoch": 7.4,
|
| 1921 |
+
"learning_rate": 1.1036585365853658e-05,
|
| 1922 |
+
"loss": 1.7218,
|
| 1923 |
+
"step": 319
|
| 1924 |
+
},
|
| 1925 |
+
{
|
| 1926 |
+
"epoch": 7.42,
|
| 1927 |
+
"learning_rate": 1.097560975609756e-05,
|
| 1928 |
+
"loss": 1.7586,
|
| 1929 |
+
"step": 320
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 7.44,
|
| 1933 |
+
"learning_rate": 1.0914634146341464e-05,
|
| 1934 |
+
"loss": 1.7767,
|
| 1935 |
+
"step": 321
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 7.47,
|
| 1939 |
+
"learning_rate": 1.0853658536585366e-05,
|
| 1940 |
+
"loss": 1.6955,
|
| 1941 |
+
"step": 322
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 7.49,
|
| 1945 |
+
"learning_rate": 1.0792682926829268e-05,
|
| 1946 |
+
"loss": 1.7268,
|
| 1947 |
+
"step": 323
|
| 1948 |
+
},
|
| 1949 |
+
{
|
| 1950 |
+
"epoch": 7.51,
|
| 1951 |
+
"learning_rate": 1.073170731707317e-05,
|
| 1952 |
+
"loss": 1.7587,
|
| 1953 |
+
"step": 324
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"epoch": 7.54,
|
| 1957 |
+
"learning_rate": 1.0670731707317074e-05,
|
| 1958 |
+
"loss": 1.7208,
|
| 1959 |
+
"step": 325
|
| 1960 |
+
},
|
| 1961 |
+
{
|
| 1962 |
+
"epoch": 7.56,
|
| 1963 |
+
"learning_rate": 1.0609756097560975e-05,
|
| 1964 |
+
"loss": 1.7468,
|
| 1965 |
+
"step": 326
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"epoch": 7.58,
|
| 1969 |
+
"learning_rate": 1.0548780487804878e-05,
|
| 1970 |
+
"loss": 1.7449,
|
| 1971 |
+
"step": 327
|
| 1972 |
+
},
|
| 1973 |
+
{
|
| 1974 |
+
"epoch": 7.61,
|
| 1975 |
+
"learning_rate": 1.048780487804878e-05,
|
| 1976 |
+
"loss": 1.7408,
|
| 1977 |
+
"step": 328
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 7.63,
|
| 1981 |
+
"learning_rate": 1.0426829268292683e-05,
|
| 1982 |
+
"loss": 1.6766,
|
| 1983 |
+
"step": 329
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 7.65,
|
| 1987 |
+
"learning_rate": 1.0365853658536585e-05,
|
| 1988 |
+
"loss": 1.7498,
|
| 1989 |
+
"step": 330
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"epoch": 7.68,
|
| 1993 |
+
"learning_rate": 1.0304878048780489e-05,
|
| 1994 |
+
"loss": 1.6731,
|
| 1995 |
+
"step": 331
|
| 1996 |
+
},
|
| 1997 |
+
{
|
| 1998 |
+
"epoch": 7.7,
|
| 1999 |
+
"learning_rate": 1.024390243902439e-05,
|
| 2000 |
+
"loss": 1.7467,
|
| 2001 |
+
"step": 332
|
| 2002 |
+
},
|
| 2003 |
+
{
|
| 2004 |
+
"epoch": 7.72,
|
| 2005 |
+
"learning_rate": 1.0182926829268293e-05,
|
| 2006 |
+
"loss": 1.7234,
|
| 2007 |
+
"step": 333
|
| 2008 |
+
},
|
| 2009 |
+
{
|
| 2010 |
+
"epoch": 7.74,
|
| 2011 |
+
"learning_rate": 1.0121951219512195e-05,
|
| 2012 |
+
"loss": 1.7302,
|
| 2013 |
+
"step": 334
|
| 2014 |
+
},
|
| 2015 |
+
{
|
| 2016 |
+
"epoch": 7.77,
|
| 2017 |
+
"learning_rate": 1.0060975609756099e-05,
|
| 2018 |
+
"loss": 1.7348,
|
| 2019 |
+
"step": 335
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 7.79,
|
| 2023 |
+
"learning_rate": 9.999999999999999e-06,
|
| 2024 |
+
"loss": 1.752,
|
| 2025 |
+
"step": 336
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 7.81,
|
| 2029 |
+
"learning_rate": 9.939024390243903e-06,
|
| 2030 |
+
"loss": 1.7636,
|
| 2031 |
+
"step": 337
|
| 2032 |
+
},
|
| 2033 |
+
{
|
| 2034 |
+
"epoch": 7.84,
|
| 2035 |
+
"learning_rate": 9.878048780487805e-06,
|
| 2036 |
+
"loss": 1.7772,
|
| 2037 |
+
"step": 338
|
| 2038 |
+
},
|
| 2039 |
+
{
|
| 2040 |
+
"epoch": 7.86,
|
| 2041 |
+
"learning_rate": 9.817073170731707e-06,
|
| 2042 |
+
"loss": 1.7246,
|
| 2043 |
+
"step": 339
|
| 2044 |
+
},
|
| 2045 |
+
{
|
| 2046 |
+
"epoch": 7.88,
|
| 2047 |
+
"learning_rate": 9.75609756097561e-06,
|
| 2048 |
+
"loss": 1.7079,
|
| 2049 |
+
"step": 340
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"epoch": 7.91,
|
| 2053 |
+
"learning_rate": 9.695121951219513e-06,
|
| 2054 |
+
"loss": 1.8304,
|
| 2055 |
+
"step": 341
|
| 2056 |
+
},
|
| 2057 |
+
{
|
| 2058 |
+
"epoch": 7.93,
|
| 2059 |
+
"learning_rate": 9.634146341463415e-06,
|
| 2060 |
+
"loss": 1.617,
|
| 2061 |
+
"step": 342
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 7.95,
|
| 2065 |
+
"learning_rate": 9.573170731707317e-06,
|
| 2066 |
+
"loss": 1.725,
|
| 2067 |
+
"step": 343
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 7.98,
|
| 2071 |
+
"learning_rate": 9.51219512195122e-06,
|
| 2072 |
+
"loss": 1.7024,
|
| 2073 |
+
"step": 344
|
| 2074 |
+
},
|
| 2075 |
+
{
|
| 2076 |
+
"epoch": 8.0,
|
| 2077 |
+
"learning_rate": 9.451219512195123e-06,
|
| 2078 |
+
"loss": 1.7552,
|
| 2079 |
+
"step": 345
|
| 2080 |
+
},
|
| 2081 |
+
{
|
| 2082 |
+
"epoch": 8.02,
|
| 2083 |
+
"learning_rate": 9.390243902439024e-06,
|
| 2084 |
+
"loss": 1.7688,
|
| 2085 |
+
"step": 346
|
| 2086 |
+
},
|
| 2087 |
+
{
|
| 2088 |
+
"epoch": 8.05,
|
| 2089 |
+
"learning_rate": 9.329268292682927e-06,
|
| 2090 |
+
"loss": 1.7283,
|
| 2091 |
+
"step": 347
|
| 2092 |
+
},
|
| 2093 |
+
{
|
| 2094 |
+
"epoch": 8.07,
|
| 2095 |
+
"learning_rate": 9.26829268292683e-06,
|
| 2096 |
+
"loss": 1.6959,
|
| 2097 |
+
"step": 348
|
| 2098 |
+
},
|
| 2099 |
+
{
|
| 2100 |
+
"epoch": 8.09,
|
| 2101 |
+
"learning_rate": 9.207317073170732e-06,
|
| 2102 |
+
"loss": 1.7215,
|
| 2103 |
+
"step": 349
|
| 2104 |
+
},
|
| 2105 |
+
{
|
| 2106 |
+
"epoch": 8.12,
|
| 2107 |
+
"learning_rate": 9.146341463414634e-06,
|
| 2108 |
+
"loss": 1.7372,
|
| 2109 |
+
"step": 350
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 8.14,
|
| 2113 |
+
"learning_rate": 9.085365853658538e-06,
|
| 2114 |
+
"loss": 1.7069,
|
| 2115 |
+
"step": 351
|
| 2116 |
+
},
|
| 2117 |
+
{
|
| 2118 |
+
"epoch": 8.16,
|
| 2119 |
+
"learning_rate": 9.02439024390244e-06,
|
| 2120 |
+
"loss": 1.6668,
|
| 2121 |
+
"step": 352
|
| 2122 |
+
},
|
| 2123 |
+
{
|
| 2124 |
+
"epoch": 8.19,
|
| 2125 |
+
"learning_rate": 8.963414634146342e-06,
|
| 2126 |
+
"loss": 1.7282,
|
| 2127 |
+
"step": 353
|
| 2128 |
+
},
|
| 2129 |
+
{
|
| 2130 |
+
"epoch": 8.21,
|
| 2131 |
+
"learning_rate": 8.902439024390244e-06,
|
| 2132 |
+
"loss": 1.7037,
|
| 2133 |
+
"step": 354
|
| 2134 |
+
},
|
| 2135 |
+
{
|
| 2136 |
+
"epoch": 8.23,
|
| 2137 |
+
"learning_rate": 8.841463414634148e-06,
|
| 2138 |
+
"loss": 1.7528,
|
| 2139 |
+
"step": 355
|
| 2140 |
+
},
|
| 2141 |
+
{
|
| 2142 |
+
"epoch": 8.26,
|
| 2143 |
+
"learning_rate": 8.780487804878048e-06,
|
| 2144 |
+
"loss": 1.7579,
|
| 2145 |
+
"step": 356
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 8.28,
|
| 2149 |
+
"learning_rate": 8.719512195121952e-06,
|
| 2150 |
+
"loss": 1.7662,
|
| 2151 |
+
"step": 357
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 8.3,
|
| 2155 |
+
"learning_rate": 8.658536585365854e-06,
|
| 2156 |
+
"loss": 1.6989,
|
| 2157 |
+
"step": 358
|
| 2158 |
+
},
|
| 2159 |
+
{
|
| 2160 |
+
"epoch": 8.32,
|
| 2161 |
+
"learning_rate": 8.597560975609756e-06,
|
| 2162 |
+
"loss": 1.7575,
|
| 2163 |
+
"step": 359
|
| 2164 |
+
},
|
| 2165 |
+
{
|
| 2166 |
+
"epoch": 8.35,
|
| 2167 |
+
"learning_rate": 8.536585365853658e-06,
|
| 2168 |
+
"loss": 1.8066,
|
| 2169 |
+
"step": 360
|
| 2170 |
+
},
|
| 2171 |
+
{
|
| 2172 |
+
"epoch": 8.37,
|
| 2173 |
+
"learning_rate": 8.475609756097562e-06,
|
| 2174 |
+
"loss": 1.7572,
|
| 2175 |
+
"step": 361
|
| 2176 |
+
},
|
| 2177 |
+
{
|
| 2178 |
+
"epoch": 8.39,
|
| 2179 |
+
"learning_rate": 8.414634146341464e-06,
|
| 2180 |
+
"loss": 1.7672,
|
| 2181 |
+
"step": 362
|
| 2182 |
+
},
|
| 2183 |
+
{
|
| 2184 |
+
"epoch": 8.42,
|
| 2185 |
+
"learning_rate": 8.353658536585366e-06,
|
| 2186 |
+
"loss": 1.7308,
|
| 2187 |
+
"step": 363
|
| 2188 |
+
},
|
| 2189 |
+
{
|
| 2190 |
+
"epoch": 8.44,
|
| 2191 |
+
"learning_rate": 8.292682926829268e-06,
|
| 2192 |
+
"loss": 1.6724,
|
| 2193 |
+
"step": 364
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 8.46,
|
| 2197 |
+
"learning_rate": 8.231707317073172e-06,
|
| 2198 |
+
"loss": 1.7657,
|
| 2199 |
+
"step": 365
|
| 2200 |
+
},
|
| 2201 |
+
{
|
| 2202 |
+
"epoch": 8.49,
|
| 2203 |
+
"learning_rate": 8.170731707317073e-06,
|
| 2204 |
+
"loss": 1.6897,
|
| 2205 |
+
"step": 366
|
| 2206 |
+
},
|
| 2207 |
+
{
|
| 2208 |
+
"epoch": 8.51,
|
| 2209 |
+
"learning_rate": 8.109756097560977e-06,
|
| 2210 |
+
"loss": 1.7057,
|
| 2211 |
+
"step": 367
|
| 2212 |
+
},
|
| 2213 |
+
{
|
| 2214 |
+
"epoch": 8.53,
|
| 2215 |
+
"learning_rate": 8.048780487804879e-06,
|
| 2216 |
+
"loss": 1.7205,
|
| 2217 |
+
"step": 368
|
| 2218 |
+
},
|
| 2219 |
+
{
|
| 2220 |
+
"epoch": 8.56,
|
| 2221 |
+
"learning_rate": 7.98780487804878e-06,
|
| 2222 |
+
"loss": 1.7178,
|
| 2223 |
+
"step": 369
|
| 2224 |
+
},
|
| 2225 |
+
{
|
| 2226 |
+
"epoch": 8.58,
|
| 2227 |
+
"learning_rate": 7.926829268292683e-06,
|
| 2228 |
+
"loss": 1.7728,
|
| 2229 |
+
"step": 370
|
| 2230 |
+
},
|
| 2231 |
+
{
|
| 2232 |
+
"epoch": 8.6,
|
| 2233 |
+
"learning_rate": 7.865853658536587e-06,
|
| 2234 |
+
"loss": 1.771,
|
| 2235 |
+
"step": 371
|
| 2236 |
+
},
|
| 2237 |
+
{
|
| 2238 |
+
"epoch": 8.63,
|
| 2239 |
+
"learning_rate": 7.804878048780489e-06,
|
| 2240 |
+
"loss": 1.7443,
|
| 2241 |
+
"step": 372
|
| 2242 |
+
},
|
| 2243 |
+
{
|
| 2244 |
+
"epoch": 8.65,
|
| 2245 |
+
"learning_rate": 7.743902439024391e-06,
|
| 2246 |
+
"loss": 1.736,
|
| 2247 |
+
"step": 373
|
| 2248 |
+
},
|
| 2249 |
+
{
|
| 2250 |
+
"epoch": 8.67,
|
| 2251 |
+
"learning_rate": 7.682926829268293e-06,
|
| 2252 |
+
"loss": 1.739,
|
| 2253 |
+
"step": 374
|
| 2254 |
+
},
|
| 2255 |
+
{
|
| 2256 |
+
"epoch": 8.7,
|
| 2257 |
+
"learning_rate": 7.621951219512196e-06,
|
| 2258 |
+
"loss": 1.7236,
|
| 2259 |
+
"step": 375
|
| 2260 |
+
},
|
| 2261 |
+
{
|
| 2262 |
+
"epoch": 8.72,
|
| 2263 |
+
"learning_rate": 7.560975609756097e-06,
|
| 2264 |
+
"loss": 1.6963,
|
| 2265 |
+
"step": 376
|
| 2266 |
+
},
|
| 2267 |
+
{
|
| 2268 |
+
"epoch": 8.74,
|
| 2269 |
+
"learning_rate": 7.5e-06,
|
| 2270 |
+
"loss": 1.6836,
|
| 2271 |
+
"step": 377
|
| 2272 |
+
},
|
| 2273 |
+
{
|
| 2274 |
+
"epoch": 8.77,
|
| 2275 |
+
"learning_rate": 7.439024390243902e-06,
|
| 2276 |
+
"loss": 1.7413,
|
| 2277 |
+
"step": 378
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 8.79,
|
| 2281 |
+
"learning_rate": 7.378048780487805e-06,
|
| 2282 |
+
"loss": 1.707,
|
| 2283 |
+
"step": 379
|
| 2284 |
+
},
|
| 2285 |
+
{
|
| 2286 |
+
"epoch": 8.81,
|
| 2287 |
+
"learning_rate": 7.317073170731707e-06,
|
| 2288 |
+
"loss": 1.7291,
|
| 2289 |
+
"step": 380
|
| 2290 |
+
},
|
| 2291 |
+
{
|
| 2292 |
+
"epoch": 8.83,
|
| 2293 |
+
"learning_rate": 7.25609756097561e-06,
|
| 2294 |
+
"loss": 1.7165,
|
| 2295 |
+
"step": 381
|
| 2296 |
+
},
|
| 2297 |
+
{
|
| 2298 |
+
"epoch": 8.86,
|
| 2299 |
+
"learning_rate": 7.1951219512195125e-06,
|
| 2300 |
+
"loss": 1.7304,
|
| 2301 |
+
"step": 382
|
| 2302 |
+
},
|
| 2303 |
+
{
|
| 2304 |
+
"epoch": 8.88,
|
| 2305 |
+
"learning_rate": 7.1341463414634146e-06,
|
| 2306 |
+
"loss": 1.7169,
|
| 2307 |
+
"step": 383
|
| 2308 |
+
},
|
| 2309 |
+
{
|
| 2310 |
+
"epoch": 8.9,
|
| 2311 |
+
"learning_rate": 7.0731707317073175e-06,
|
| 2312 |
+
"loss": 1.7551,
|
| 2313 |
+
"step": 384
|
| 2314 |
+
},
|
| 2315 |
+
{
|
| 2316 |
+
"epoch": 8.93,
|
| 2317 |
+
"learning_rate": 7.01219512195122e-06,
|
| 2318 |
+
"loss": 1.7233,
|
| 2319 |
+
"step": 385
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 8.95,
|
| 2323 |
+
"learning_rate": 6.951219512195123e-06,
|
| 2324 |
+
"loss": 1.6445,
|
| 2325 |
+
"step": 386
|
| 2326 |
+
},
|
| 2327 |
+
{
|
| 2328 |
+
"epoch": 8.97,
|
| 2329 |
+
"learning_rate": 6.890243902439025e-06,
|
| 2330 |
+
"loss": 1.8147,
|
| 2331 |
+
"step": 387
|
| 2332 |
+
},
|
| 2333 |
+
{
|
| 2334 |
+
"epoch": 9.0,
|
| 2335 |
+
"learning_rate": 6.829268292682927e-06,
|
| 2336 |
+
"loss": 1.7782,
|
| 2337 |
+
"step": 388
|
| 2338 |
+
},
|
| 2339 |
+
{
|
| 2340 |
+
"epoch": 9.02,
|
| 2341 |
+
"learning_rate": 6.76829268292683e-06,
|
| 2342 |
+
"loss": 1.7444,
|
| 2343 |
+
"step": 389
|
| 2344 |
+
},
|
| 2345 |
+
{
|
| 2346 |
+
"epoch": 9.04,
|
| 2347 |
+
"learning_rate": 6.707317073170732e-06,
|
| 2348 |
+
"loss": 1.8105,
|
| 2349 |
+
"step": 390
|
| 2350 |
+
},
|
| 2351 |
+
{
|
| 2352 |
+
"epoch": 9.07,
|
| 2353 |
+
"learning_rate": 6.646341463414635e-06,
|
| 2354 |
+
"loss": 1.7348,
|
| 2355 |
+
"step": 391
|
| 2356 |
+
},
|
| 2357 |
+
{
|
| 2358 |
+
"epoch": 9.09,
|
| 2359 |
+
"learning_rate": 6.585365853658537e-06,
|
| 2360 |
+
"loss": 1.6824,
|
| 2361 |
+
"step": 392
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 9.11,
|
| 2365 |
+
"learning_rate": 6.524390243902439e-06,
|
| 2366 |
+
"loss": 1.71,
|
| 2367 |
+
"step": 393
|
| 2368 |
+
},
|
| 2369 |
+
{
|
| 2370 |
+
"epoch": 9.14,
|
| 2371 |
+
"learning_rate": 6.463414634146342e-06,
|
| 2372 |
+
"loss": 1.6641,
|
| 2373 |
+
"step": 394
|
| 2374 |
+
},
|
| 2375 |
+
{
|
| 2376 |
+
"epoch": 9.16,
|
| 2377 |
+
"learning_rate": 6.402439024390244e-06,
|
| 2378 |
+
"loss": 1.8019,
|
| 2379 |
+
"step": 395
|
| 2380 |
+
},
|
| 2381 |
+
{
|
| 2382 |
+
"epoch": 9.18,
|
| 2383 |
+
"learning_rate": 6.341463414634147e-06,
|
| 2384 |
+
"loss": 1.7534,
|
| 2385 |
+
"step": 396
|
| 2386 |
+
},
|
| 2387 |
+
{
|
| 2388 |
+
"epoch": 9.21,
|
| 2389 |
+
"learning_rate": 6.280487804878049e-06,
|
| 2390 |
+
"loss": 1.7273,
|
| 2391 |
+
"step": 397
|
| 2392 |
+
},
|
| 2393 |
+
{
|
| 2394 |
+
"epoch": 9.23,
|
| 2395 |
+
"learning_rate": 6.219512195121951e-06,
|
| 2396 |
+
"loss": 1.7937,
|
| 2397 |
+
"step": 398
|
| 2398 |
+
},
|
| 2399 |
+
{
|
| 2400 |
+
"epoch": 9.25,
|
| 2401 |
+
"learning_rate": 6.158536585365854e-06,
|
| 2402 |
+
"loss": 1.695,
|
| 2403 |
+
"step": 399
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"epoch": 9.28,
|
| 2407 |
+
"learning_rate": 6.0975609756097564e-06,
|
| 2408 |
+
"loss": 1.7722,
|
| 2409 |
+
"step": 400
|
| 2410 |
+
},
|
| 2411 |
+
{
|
| 2412 |
+
"epoch": 9.3,
|
| 2413 |
+
"learning_rate": 6.036585365853659e-06,
|
| 2414 |
+
"loss": 1.7255,
|
| 2415 |
+
"step": 401
|
| 2416 |
+
},
|
| 2417 |
+
{
|
| 2418 |
+
"epoch": 9.32,
|
| 2419 |
+
"learning_rate": 5.9756097560975615e-06,
|
| 2420 |
+
"loss": 1.7093,
|
| 2421 |
+
"step": 402
|
| 2422 |
+
},
|
| 2423 |
+
{
|
| 2424 |
+
"epoch": 9.34,
|
| 2425 |
+
"learning_rate": 5.914634146341464e-06,
|
| 2426 |
+
"loss": 1.7192,
|
| 2427 |
+
"step": 403
|
| 2428 |
+
},
|
| 2429 |
+
{
|
| 2430 |
+
"epoch": 9.37,
|
| 2431 |
+
"learning_rate": 5.853658536585367e-06,
|
| 2432 |
+
"loss": 1.718,
|
| 2433 |
+
"step": 404
|
| 2434 |
+
},
|
| 2435 |
+
{
|
| 2436 |
+
"epoch": 9.39,
|
| 2437 |
+
"learning_rate": 5.792682926829269e-06,
|
| 2438 |
+
"loss": 1.7391,
|
| 2439 |
+
"step": 405
|
| 2440 |
+
},
|
| 2441 |
+
{
|
| 2442 |
+
"epoch": 9.41,
|
| 2443 |
+
"learning_rate": 5.731707317073172e-06,
|
| 2444 |
+
"loss": 1.6587,
|
| 2445 |
+
"step": 406
|
| 2446 |
+
},
|
| 2447 |
+
{
|
| 2448 |
+
"epoch": 9.44,
|
| 2449 |
+
"learning_rate": 5.670731707317074e-06,
|
| 2450 |
+
"loss": 1.7526,
|
| 2451 |
+
"step": 407
|
| 2452 |
+
},
|
| 2453 |
+
{
|
| 2454 |
+
"epoch": 9.46,
|
| 2455 |
+
"learning_rate": 5.609756097560976e-06,
|
| 2456 |
+
"loss": 1.7139,
|
| 2457 |
+
"step": 408
|
| 2458 |
+
},
|
| 2459 |
+
{
|
| 2460 |
+
"epoch": 9.48,
|
| 2461 |
+
"learning_rate": 5.548780487804878e-06,
|
| 2462 |
+
"loss": 1.7315,
|
| 2463 |
+
"step": 409
|
| 2464 |
+
},
|
| 2465 |
+
{
|
| 2466 |
+
"epoch": 9.51,
|
| 2467 |
+
"learning_rate": 5.48780487804878e-06,
|
| 2468 |
+
"loss": 1.7469,
|
| 2469 |
+
"step": 410
|
| 2470 |
+
},
|
| 2471 |
+
{
|
| 2472 |
+
"epoch": 9.53,
|
| 2473 |
+
"learning_rate": 5.426829268292683e-06,
|
| 2474 |
+
"loss": 1.7828,
|
| 2475 |
+
"step": 411
|
| 2476 |
+
},
|
| 2477 |
+
{
|
| 2478 |
+
"epoch": 9.55,
|
| 2479 |
+
"learning_rate": 5.365853658536585e-06,
|
| 2480 |
+
"loss": 1.7321,
|
| 2481 |
+
"step": 412
|
| 2482 |
+
},
|
| 2483 |
+
{
|
| 2484 |
+
"epoch": 9.58,
|
| 2485 |
+
"learning_rate": 5.304878048780487e-06,
|
| 2486 |
+
"loss": 1.685,
|
| 2487 |
+
"step": 413
|
| 2488 |
+
},
|
| 2489 |
+
{
|
| 2490 |
+
"epoch": 9.6,
|
| 2491 |
+
"learning_rate": 5.24390243902439e-06,
|
| 2492 |
+
"loss": 1.7355,
|
| 2493 |
+
"step": 414
|
| 2494 |
+
},
|
| 2495 |
+
{
|
| 2496 |
+
"epoch": 9.62,
|
| 2497 |
+
"learning_rate": 5.182926829268292e-06,
|
| 2498 |
+
"loss": 1.7395,
|
| 2499 |
+
"step": 415
|
| 2500 |
+
},
|
| 2501 |
+
{
|
| 2502 |
+
"epoch": 9.65,
|
| 2503 |
+
"learning_rate": 5.121951219512195e-06,
|
| 2504 |
+
"loss": 1.7761,
|
| 2505 |
+
"step": 416
|
| 2506 |
+
},
|
| 2507 |
+
{
|
| 2508 |
+
"epoch": 9.67,
|
| 2509 |
+
"learning_rate": 5.0609756097560974e-06,
|
| 2510 |
+
"loss": 1.6656,
|
| 2511 |
+
"step": 417
|
| 2512 |
+
},
|
| 2513 |
+
{
|
| 2514 |
+
"epoch": 9.69,
|
| 2515 |
+
"learning_rate": 4.9999999999999996e-06,
|
| 2516 |
+
"loss": 1.6388,
|
| 2517 |
+
"step": 418
|
| 2518 |
+
},
|
| 2519 |
+
{
|
| 2520 |
+
"epoch": 9.72,
|
| 2521 |
+
"learning_rate": 4.9390243902439025e-06,
|
| 2522 |
+
"loss": 1.7176,
|
| 2523 |
+
"step": 419
|
| 2524 |
+
},
|
| 2525 |
+
{
|
| 2526 |
+
"epoch": 9.74,
|
| 2527 |
+
"learning_rate": 4.878048780487805e-06,
|
| 2528 |
+
"loss": 1.7379,
|
| 2529 |
+
"step": 420
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 9.76,
|
| 2533 |
+
"learning_rate": 4.817073170731708e-06,
|
| 2534 |
+
"loss": 1.6747,
|
| 2535 |
+
"step": 421
|
| 2536 |
+
},
|
| 2537 |
+
{
|
| 2538 |
+
"epoch": 9.79,
|
| 2539 |
+
"learning_rate": 4.75609756097561e-06,
|
| 2540 |
+
"loss": 1.8044,
|
| 2541 |
+
"step": 422
|
| 2542 |
+
},
|
| 2543 |
+
{
|
| 2544 |
+
"epoch": 9.81,
|
| 2545 |
+
"learning_rate": 4.695121951219512e-06,
|
| 2546 |
+
"loss": 1.6771,
|
| 2547 |
+
"step": 423
|
| 2548 |
+
},
|
| 2549 |
+
{
|
| 2550 |
+
"epoch": 9.83,
|
| 2551 |
+
"learning_rate": 4.634146341463415e-06,
|
| 2552 |
+
"loss": 1.7604,
|
| 2553 |
+
"step": 424
|
| 2554 |
+
},
|
| 2555 |
+
{
|
| 2556 |
+
"epoch": 9.86,
|
| 2557 |
+
"learning_rate": 4.573170731707317e-06,
|
| 2558 |
+
"loss": 1.7027,
|
| 2559 |
+
"step": 425
|
| 2560 |
+
},
|
| 2561 |
+
{
|
| 2562 |
+
"epoch": 9.88,
|
| 2563 |
+
"learning_rate": 4.51219512195122e-06,
|
| 2564 |
+
"loss": 1.7019,
|
| 2565 |
+
"step": 426
|
| 2566 |
+
},
|
| 2567 |
+
{
|
| 2568 |
+
"epoch": 9.9,
|
| 2569 |
+
"learning_rate": 4.451219512195122e-06,
|
| 2570 |
+
"loss": 1.7233,
|
| 2571 |
+
"step": 427
|
| 2572 |
+
},
|
| 2573 |
+
{
|
| 2574 |
+
"epoch": 9.92,
|
| 2575 |
+
"learning_rate": 4.390243902439024e-06,
|
| 2576 |
+
"loss": 1.8141,
|
| 2577 |
+
"step": 428
|
| 2578 |
+
},
|
| 2579 |
+
{
|
| 2580 |
+
"epoch": 9.95,
|
| 2581 |
+
"learning_rate": 4.329268292682927e-06,
|
| 2582 |
+
"loss": 1.7686,
|
| 2583 |
+
"step": 429
|
| 2584 |
+
},
|
| 2585 |
+
{
|
| 2586 |
+
"epoch": 9.97,
|
| 2587 |
+
"learning_rate": 4.268292682926829e-06,
|
| 2588 |
+
"loss": 1.7026,
|
| 2589 |
+
"step": 430
|
| 2590 |
+
},
|
| 2591 |
+
{
|
| 2592 |
+
"epoch": 9.99,
|
| 2593 |
+
"learning_rate": 4.207317073170732e-06,
|
| 2594 |
+
"loss": 1.7406,
|
| 2595 |
+
"step": 431
|
| 2596 |
+
},
|
| 2597 |
+
{
|
| 2598 |
+
"epoch": 10.02,
|
| 2599 |
+
"learning_rate": 4.146341463414634e-06,
|
| 2600 |
+
"loss": 1.6645,
|
| 2601 |
+
"step": 432
|
| 2602 |
+
},
|
| 2603 |
+
{
|
| 2604 |
+
"epoch": 10.04,
|
| 2605 |
+
"learning_rate": 4.085365853658536e-06,
|
| 2606 |
+
"loss": 1.7059,
|
| 2607 |
+
"step": 433
|
| 2608 |
+
},
|
| 2609 |
+
{
|
| 2610 |
+
"epoch": 10.06,
|
| 2611 |
+
"learning_rate": 4.024390243902439e-06,
|
| 2612 |
+
"loss": 1.729,
|
| 2613 |
+
"step": 434
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"epoch": 10.09,
|
| 2617 |
+
"learning_rate": 3.9634146341463414e-06,
|
| 2618 |
+
"loss": 1.7542,
|
| 2619 |
+
"step": 435
|
| 2620 |
+
},
|
| 2621 |
+
{
|
| 2622 |
+
"epoch": 10.11,
|
| 2623 |
+
"learning_rate": 3.902439024390244e-06,
|
| 2624 |
+
"loss": 1.738,
|
| 2625 |
+
"step": 436
|
| 2626 |
+
},
|
| 2627 |
+
{
|
| 2628 |
+
"epoch": 10.13,
|
| 2629 |
+
"learning_rate": 3.8414634146341465e-06,
|
| 2630 |
+
"loss": 1.6935,
|
| 2631 |
+
"step": 437
|
| 2632 |
+
},
|
| 2633 |
+
{
|
| 2634 |
+
"epoch": 10.16,
|
| 2635 |
+
"learning_rate": 3.7804878048780486e-06,
|
| 2636 |
+
"loss": 1.7181,
|
| 2637 |
+
"step": 438
|
| 2638 |
+
},
|
| 2639 |
+
{
|
| 2640 |
+
"epoch": 10.18,
|
| 2641 |
+
"learning_rate": 3.719512195121951e-06,
|
| 2642 |
+
"loss": 1.7312,
|
| 2643 |
+
"step": 439
|
| 2644 |
+
},
|
| 2645 |
+
{
|
| 2646 |
+
"epoch": 10.2,
|
| 2647 |
+
"learning_rate": 3.6585365853658537e-06,
|
| 2648 |
+
"loss": 1.7378,
|
| 2649 |
+
"step": 440
|
| 2650 |
+
},
|
| 2651 |
+
{
|
| 2652 |
+
"epoch": 10.23,
|
| 2653 |
+
"learning_rate": 3.5975609756097562e-06,
|
| 2654 |
+
"loss": 1.6795,
|
| 2655 |
+
"step": 441
|
| 2656 |
+
},
|
| 2657 |
+
{
|
| 2658 |
+
"epoch": 10.25,
|
| 2659 |
+
"learning_rate": 3.5365853658536588e-06,
|
| 2660 |
+
"loss": 1.7499,
|
| 2661 |
+
"step": 442
|
| 2662 |
+
},
|
| 2663 |
+
{
|
| 2664 |
+
"epoch": 10.27,
|
| 2665 |
+
"learning_rate": 3.4756097560975613e-06,
|
| 2666 |
+
"loss": 1.6794,
|
| 2667 |
+
"step": 443
|
| 2668 |
+
},
|
| 2669 |
+
{
|
| 2670 |
+
"epoch": 10.3,
|
| 2671 |
+
"learning_rate": 3.4146341463414634e-06,
|
| 2672 |
+
"loss": 1.7674,
|
| 2673 |
+
"step": 444
|
| 2674 |
+
},
|
| 2675 |
+
{
|
| 2676 |
+
"epoch": 10.32,
|
| 2677 |
+
"learning_rate": 3.353658536585366e-06,
|
| 2678 |
+
"loss": 1.6653,
|
| 2679 |
+
"step": 445
|
| 2680 |
+
},
|
| 2681 |
+
{
|
| 2682 |
+
"epoch": 10.34,
|
| 2683 |
+
"learning_rate": 3.2926829268292685e-06,
|
| 2684 |
+
"loss": 1.8255,
|
| 2685 |
+
"step": 446
|
| 2686 |
+
},
|
| 2687 |
+
{
|
| 2688 |
+
"epoch": 10.37,
|
| 2689 |
+
"learning_rate": 3.231707317073171e-06,
|
| 2690 |
+
"loss": 1.788,
|
| 2691 |
+
"step": 447
|
| 2692 |
+
},
|
| 2693 |
+
{
|
| 2694 |
+
"epoch": 10.39,
|
| 2695 |
+
"learning_rate": 3.1707317073170736e-06,
|
| 2696 |
+
"loss": 1.7145,
|
| 2697 |
+
"step": 448
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 10.41,
|
| 2701 |
+
"learning_rate": 3.1097560975609757e-06,
|
| 2702 |
+
"loss": 1.6709,
|
| 2703 |
+
"step": 449
|
| 2704 |
+
},
|
| 2705 |
+
{
|
| 2706 |
+
"epoch": 10.43,
|
| 2707 |
+
"learning_rate": 3.0487804878048782e-06,
|
| 2708 |
+
"loss": 1.7552,
|
| 2709 |
+
"step": 450
|
| 2710 |
+
},
|
| 2711 |
+
{
|
| 2712 |
+
"epoch": 10.46,
|
| 2713 |
+
"learning_rate": 2.9878048780487808e-06,
|
| 2714 |
+
"loss": 1.8153,
|
| 2715 |
+
"step": 451
|
| 2716 |
+
},
|
| 2717 |
+
{
|
| 2718 |
+
"epoch": 10.48,
|
| 2719 |
+
"learning_rate": 2.9268292682926833e-06,
|
| 2720 |
+
"loss": 1.7317,
|
| 2721 |
+
"step": 452
|
| 2722 |
+
},
|
| 2723 |
+
{
|
| 2724 |
+
"epoch": 10.5,
|
| 2725 |
+
"learning_rate": 2.865853658536586e-06,
|
| 2726 |
+
"loss": 1.7284,
|
| 2727 |
+
"step": 453
|
| 2728 |
+
},
|
| 2729 |
+
{
|
| 2730 |
+
"epoch": 10.53,
|
| 2731 |
+
"learning_rate": 2.804878048780488e-06,
|
| 2732 |
+
"loss": 1.7767,
|
| 2733 |
+
"step": 454
|
| 2734 |
+
},
|
| 2735 |
+
{
|
| 2736 |
+
"epoch": 10.55,
|
| 2737 |
+
"learning_rate": 2.74390243902439e-06,
|
| 2738 |
+
"loss": 1.7437,
|
| 2739 |
+
"step": 455
|
| 2740 |
+
},
|
| 2741 |
+
{
|
| 2742 |
+
"epoch": 10.57,
|
| 2743 |
+
"learning_rate": 2.6829268292682926e-06,
|
| 2744 |
+
"loss": 1.6735,
|
| 2745 |
+
"step": 456
|
| 2746 |
+
},
|
| 2747 |
+
{
|
| 2748 |
+
"epoch": 10.6,
|
| 2749 |
+
"learning_rate": 2.621951219512195e-06,
|
| 2750 |
+
"loss": 1.7279,
|
| 2751 |
+
"step": 457
|
| 2752 |
+
},
|
| 2753 |
+
{
|
| 2754 |
+
"epoch": 10.62,
|
| 2755 |
+
"learning_rate": 2.5609756097560977e-06,
|
| 2756 |
+
"loss": 1.7359,
|
| 2757 |
+
"step": 458
|
| 2758 |
+
},
|
| 2759 |
+
{
|
| 2760 |
+
"epoch": 10.64,
|
| 2761 |
+
"learning_rate": 2.4999999999999998e-06,
|
| 2762 |
+
"loss": 1.7554,
|
| 2763 |
+
"step": 459
|
| 2764 |
+
},
|
| 2765 |
+
{
|
| 2766 |
+
"epoch": 10.67,
|
| 2767 |
+
"learning_rate": 2.4390243902439023e-06,
|
| 2768 |
+
"loss": 1.7075,
|
| 2769 |
+
"step": 460
|
| 2770 |
+
},
|
| 2771 |
+
{
|
| 2772 |
+
"epoch": 10.69,
|
| 2773 |
+
"learning_rate": 2.378048780487805e-06,
|
| 2774 |
+
"loss": 1.8023,
|
| 2775 |
+
"step": 461
|
| 2776 |
+
},
|
| 2777 |
+
{
|
| 2778 |
+
"epoch": 10.71,
|
| 2779 |
+
"learning_rate": 2.3170731707317074e-06,
|
| 2780 |
+
"loss": 1.7053,
|
| 2781 |
+
"step": 462
|
| 2782 |
+
},
|
| 2783 |
+
{
|
| 2784 |
+
"epoch": 10.74,
|
| 2785 |
+
"learning_rate": 2.25609756097561e-06,
|
| 2786 |
+
"loss": 1.7232,
|
| 2787 |
+
"step": 463
|
| 2788 |
+
},
|
| 2789 |
+
{
|
| 2790 |
+
"epoch": 10.76,
|
| 2791 |
+
"learning_rate": 2.195121951219512e-06,
|
| 2792 |
+
"loss": 1.6829,
|
| 2793 |
+
"step": 464
|
| 2794 |
+
},
|
| 2795 |
+
{
|
| 2796 |
+
"epoch": 10.78,
|
| 2797 |
+
"learning_rate": 2.1341463414634146e-06,
|
| 2798 |
+
"loss": 1.7684,
|
| 2799 |
+
"step": 465
|
| 2800 |
+
},
|
| 2801 |
+
{
|
| 2802 |
+
"epoch": 10.81,
|
| 2803 |
+
"learning_rate": 2.073170731707317e-06,
|
| 2804 |
+
"loss": 1.6745,
|
| 2805 |
+
"step": 466
|
| 2806 |
+
},
|
| 2807 |
+
{
|
| 2808 |
+
"epoch": 10.83,
|
| 2809 |
+
"learning_rate": 2.0121951219512197e-06,
|
| 2810 |
+
"loss": 1.675,
|
| 2811 |
+
"step": 467
|
| 2812 |
+
},
|
| 2813 |
+
{
|
| 2814 |
+
"epoch": 10.85,
|
| 2815 |
+
"learning_rate": 1.951219512195122e-06,
|
| 2816 |
+
"loss": 1.7421,
|
| 2817 |
+
"step": 468
|
| 2818 |
+
},
|
| 2819 |
+
{
|
| 2820 |
+
"epoch": 10.88,
|
| 2821 |
+
"learning_rate": 1.8902439024390243e-06,
|
| 2822 |
+
"loss": 1.7245,
|
| 2823 |
+
"step": 469
|
| 2824 |
+
},
|
| 2825 |
+
{
|
| 2826 |
+
"epoch": 10.9,
|
| 2827 |
+
"learning_rate": 1.8292682926829268e-06,
|
| 2828 |
+
"loss": 1.8109,
|
| 2829 |
+
"step": 470
|
| 2830 |
+
},
|
| 2831 |
+
{
|
| 2832 |
+
"epoch": 10.92,
|
| 2833 |
+
"learning_rate": 1.7682926829268294e-06,
|
| 2834 |
+
"loss": 1.685,
|
| 2835 |
+
"step": 471
|
| 2836 |
+
},
|
| 2837 |
+
{
|
| 2838 |
+
"epoch": 10.94,
|
| 2839 |
+
"learning_rate": 1.7073170731707317e-06,
|
| 2840 |
+
"loss": 1.7591,
|
| 2841 |
+
"step": 472
|
| 2842 |
+
},
|
| 2843 |
+
{
|
| 2844 |
+
"epoch": 10.97,
|
| 2845 |
+
"learning_rate": 1.6463414634146342e-06,
|
| 2846 |
+
"loss": 1.6983,
|
| 2847 |
+
"step": 473
|
| 2848 |
+
},
|
| 2849 |
+
{
|
| 2850 |
+
"epoch": 10.99,
|
| 2851 |
+
"learning_rate": 1.5853658536585368e-06,
|
| 2852 |
+
"loss": 1.736,
|
| 2853 |
+
"step": 474
|
| 2854 |
+
},
|
| 2855 |
+
{
|
| 2856 |
+
"epoch": 11.01,
|
| 2857 |
+
"learning_rate": 1.5243902439024391e-06,
|
| 2858 |
+
"loss": 1.6644,
|
| 2859 |
+
"step": 475
|
| 2860 |
+
},
|
| 2861 |
+
{
|
| 2862 |
+
"epoch": 11.04,
|
| 2863 |
+
"learning_rate": 1.4634146341463416e-06,
|
| 2864 |
+
"loss": 1.6649,
|
| 2865 |
+
"step": 476
|
| 2866 |
+
},
|
| 2867 |
+
{
|
| 2868 |
+
"epoch": 11.06,
|
| 2869 |
+
"learning_rate": 1.402439024390244e-06,
|
| 2870 |
+
"loss": 1.7027,
|
| 2871 |
+
"step": 477
|
| 2872 |
+
},
|
| 2873 |
+
{
|
| 2874 |
+
"epoch": 11.08,
|
| 2875 |
+
"learning_rate": 1.3414634146341463e-06,
|
| 2876 |
+
"loss": 1.6928,
|
| 2877 |
+
"step": 478
|
| 2878 |
+
},
|
| 2879 |
+
{
|
| 2880 |
+
"epoch": 11.11,
|
| 2881 |
+
"learning_rate": 1.2804878048780488e-06,
|
| 2882 |
+
"loss": 1.7631,
|
| 2883 |
+
"step": 479
|
| 2884 |
+
},
|
| 2885 |
+
{
|
| 2886 |
+
"epoch": 11.13,
|
| 2887 |
+
"learning_rate": 1.2195121951219512e-06,
|
| 2888 |
+
"loss": 1.6956,
|
| 2889 |
+
"step": 480
|
| 2890 |
+
},
|
| 2891 |
+
{
|
| 2892 |
+
"epoch": 11.15,
|
| 2893 |
+
"learning_rate": 1.1585365853658537e-06,
|
| 2894 |
+
"loss": 1.7416,
|
| 2895 |
+
"step": 481
|
| 2896 |
+
},
|
| 2897 |
+
{
|
| 2898 |
+
"epoch": 11.18,
|
| 2899 |
+
"learning_rate": 1.097560975609756e-06,
|
| 2900 |
+
"loss": 1.7096,
|
| 2901 |
+
"step": 482
|
| 2902 |
+
},
|
| 2903 |
+
{
|
| 2904 |
+
"epoch": 11.2,
|
| 2905 |
+
"learning_rate": 1.0365853658536586e-06,
|
| 2906 |
+
"loss": 1.7958,
|
| 2907 |
+
"step": 483
|
| 2908 |
+
},
|
| 2909 |
+
{
|
| 2910 |
+
"epoch": 11.22,
|
| 2911 |
+
"learning_rate": 9.75609756097561e-07,
|
| 2912 |
+
"loss": 1.7628,
|
| 2913 |
+
"step": 484
|
| 2914 |
+
},
|
| 2915 |
+
{
|
| 2916 |
+
"epoch": 11.25,
|
| 2917 |
+
"learning_rate": 9.146341463414634e-07,
|
| 2918 |
+
"loss": 1.762,
|
| 2919 |
+
"step": 485
|
| 2920 |
+
},
|
| 2921 |
+
{
|
| 2922 |
+
"epoch": 11.27,
|
| 2923 |
+
"learning_rate": 8.536585365853659e-07,
|
| 2924 |
+
"loss": 1.6579,
|
| 2925 |
+
"step": 486
|
| 2926 |
+
},
|
| 2927 |
+
{
|
| 2928 |
+
"epoch": 11.29,
|
| 2929 |
+
"learning_rate": 7.926829268292684e-07,
|
| 2930 |
+
"loss": 1.7758,
|
| 2931 |
+
"step": 487
|
| 2932 |
+
},
|
| 2933 |
+
{
|
| 2934 |
+
"epoch": 11.32,
|
| 2935 |
+
"learning_rate": 7.317073170731708e-07,
|
| 2936 |
+
"loss": 1.6559,
|
| 2937 |
+
"step": 488
|
| 2938 |
+
},
|
| 2939 |
+
{
|
| 2940 |
+
"epoch": 11.34,
|
| 2941 |
+
"learning_rate": 6.707317073170731e-07,
|
| 2942 |
+
"loss": 1.6787,
|
| 2943 |
+
"step": 489
|
| 2944 |
+
},
|
| 2945 |
+
{
|
| 2946 |
+
"epoch": 11.36,
|
| 2947 |
+
"learning_rate": 6.097560975609756e-07,
|
| 2948 |
+
"loss": 1.7964,
|
| 2949 |
+
"step": 490
|
| 2950 |
+
},
|
| 2951 |
+
{
|
| 2952 |
+
"epoch": 11.39,
|
| 2953 |
+
"learning_rate": 5.48780487804878e-07,
|
| 2954 |
+
"loss": 1.7204,
|
| 2955 |
+
"step": 491
|
| 2956 |
+
},
|
| 2957 |
+
{
|
| 2958 |
+
"epoch": 11.41,
|
| 2959 |
+
"learning_rate": 4.878048780487805e-07,
|
| 2960 |
+
"loss": 1.7437,
|
| 2961 |
+
"step": 492
|
| 2962 |
+
},
|
| 2963 |
+
{
|
| 2964 |
+
"epoch": 11.43,
|
| 2965 |
+
"learning_rate": 4.2682926829268293e-07,
|
| 2966 |
+
"loss": 1.7229,
|
| 2967 |
+
"step": 493
|
| 2968 |
+
},
|
| 2969 |
+
{
|
| 2970 |
+
"epoch": 11.46,
|
| 2971 |
+
"learning_rate": 3.658536585365854e-07,
|
| 2972 |
+
"loss": 1.7232,
|
| 2973 |
+
"step": 494
|
| 2974 |
+
},
|
| 2975 |
+
{
|
| 2976 |
+
"epoch": 11.48,
|
| 2977 |
+
"learning_rate": 3.048780487804878e-07,
|
| 2978 |
+
"loss": 1.7008,
|
| 2979 |
+
"step": 495
|
| 2980 |
+
},
|
| 2981 |
+
{
|
| 2982 |
+
"epoch": 11.5,
|
| 2983 |
+
"learning_rate": 2.439024390243903e-07,
|
| 2984 |
+
"loss": 1.7054,
|
| 2985 |
+
"step": 496
|
| 2986 |
+
},
|
| 2987 |
+
{
|
| 2988 |
+
"epoch": 11.52,
|
| 2989 |
+
"learning_rate": 1.829268292682927e-07,
|
| 2990 |
+
"loss": 1.7201,
|
| 2991 |
+
"step": 497
|
| 2992 |
+
},
|
| 2993 |
+
{
|
| 2994 |
+
"epoch": 11.55,
|
| 2995 |
+
"learning_rate": 1.2195121951219514e-07,
|
| 2996 |
+
"loss": 1.7223,
|
| 2997 |
+
"step": 498
|
| 2998 |
+
},
|
| 2999 |
+
{
|
| 3000 |
+
"epoch": 11.57,
|
| 3001 |
+
"learning_rate": 6.097560975609757e-08,
|
| 3002 |
+
"loss": 1.8527,
|
| 3003 |
+
"step": 499
|
| 3004 |
+
},
|
| 3005 |
+
{
|
| 3006 |
+
"epoch": 11.59,
|
| 3007 |
+
"learning_rate": 0.0,
|
| 3008 |
+
"loss": 1.7352,
|
| 3009 |
+
"step": 500
|
| 3010 |
+
}
|
| 3011 |
+
],
|
| 3012 |
+
"logging_steps": 1,
|
| 3013 |
+
"max_steps": 500,
|
| 3014 |
+
"num_input_tokens_seen": 0,
|
| 3015 |
+
"num_train_epochs": 12,
|
| 3016 |
+
"save_steps": 50,
|
| 3017 |
+
"total_flos": 2.574260101321851e+18,
|
| 3018 |
+
"train_batch_size": 2,
|
| 3019 |
+
"trial_name": null,
|
| 3020 |
+
"trial_params": null
|
| 3021 |
+
}
|
lora_wiki/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af70fd72dfeaf317f11743f8b69a1d55045e5e5baf86e4eb023afac1a2829901
|
| 3 |
+
size 4856
|