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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,207 @@
----
-license: apache-2.0
----
+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: outputs/qwen05B
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.5.0`
+```yaml
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: ./dataforge
+    type: chat_template
+
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+  
+  # - path: HuggingFaceTB/smol-smoltalk
+  #   type: chat_template
+
+  #   field_messages: messages
+  #   message_field_role: role
+  #   message_field_content: content
+
+# chat_template: chatml
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.1
+output_dir: ./outputs/qwen05B
+
+unfrozen_parameters:
+- ^lm_head.weight$
+- ^model.embed_tokens.weight$
+# mlp.down_proj layers
+- model.layers.0.mlp.down_proj
+- model.layers.23.mlp.down_proj
+- model.layers.1.mlp.down_proj
+- model.layers.16.mlp.down_proj
+- model.layers.4.mlp.down_proj
+- model.layers.17.mlp.down_proj
+# mlp.gate_proj layers
+- model.layers.0.mlp.gate_proj
+- model.layers.1.mlp.gate_proj
+- model.layers.2.mlp.gate_proj
+- model.layers.3.mlp.gate_proj
+- model.layers.4.mlp.gate_proj
+- model.layers.7.mlp.gate_proj
+# mlp.up_proj layers
+- model.layers.1.mlp.up_proj
+- model.layers.0.mlp.up_proj
+- model.layers.3.mlp.up_proj
+- model.layers.4.mlp.up_proj
+- model.layers.7.mlp.up_proj
+- model.layers.9.mlp.up_proj
+# self_attn.k_proj layers
+- model.layers.18.self_attn.k_proj
+- model.layers.7.self_attn.k_proj
+- model.layers.19.self_attn.k_proj
+- model.layers.2.self_attn.k_proj
+- model.layers.6.self_attn.k_proj
+- model.layers.9.self_attn.k_proj
+# self_attn.o_proj layers
+- model.layers.16.self_attn.o_proj
+- model.layers.19.self_attn.o_proj
+- model.layers.0.self_attn.o_proj
+- model.layers.20.self_attn.o_proj
+- model.layers.4.self_attn.o_proj
+- model.layers.3.self_attn.o_proj
+# self_attn.q_proj layers
+- model.layers.13.self_attn.q_proj
+- model.layers.16.self_attn.q_proj
+- model.layers.21.self_attn.q_proj
+- model.layers.11.self_attn.q_proj
+- model.layers.15.self_attn.q_proj
+- model.layers.6.self_attn.q_proj
+# self_attn.v_proj layers
+- model.layers.2.self_attn.v_proj
+- model.layers.3.self_attn.v_proj
+- model.layers.4.self_attn.v_proj
+- model.layers.5.self_attn.v_proj
+- model.layers.7.self_attn.v_proj
+- model.layers.8.self_attn.v_proj
+
+
+
+sequence_len: 4096
+sample_packing: true
+eval_sample_packing: true
+pad_to_sequence_len: true
+
+
+wandb_project: axolotl
+wandb_entity:
+wandb_watch:
+wandb_name: qwen2.5-0.5B
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 4
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 1.0e-04
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: 
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 5
+xformers_attention:
+flash_attention: true
+
+
+warmup_steps: 10
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: "<|im_end|>"
+  eos_token: "<|im_end|>"
+
+
+```
+
+</details><br>
+
+# outputs/qwen05B
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4100
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Use adamw_bnb_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0013 | 1    | 1.7855          |
+| 1.2567        | 0.2504 | 194  | 1.5639          |
+| 1.2551        | 0.5008 | 388  | 1.4980          |
+| 1.1845        | 0.7512 | 582  | 1.4501          |
+| 1.3178        | 1.0019 | 776  | 1.4252          |
+| 1.06          | 1.2523 | 970  | 1.4187          |
+| 1.0697        | 1.5027 | 1164 | 1.4116          |
+| 1.0362        | 1.7531 | 1358 | 1.4100          |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

added_tokens.json

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+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "Qwen/Qwen2.5-0.5B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.2",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

@@ -0,0 +1,14 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.46.2"
+}

pytorch_model.bin

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+size 988163026

special_tokens_map.json

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+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
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+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
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+  "eos_token": {
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+    "lstrip": false,
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+    "rstrip": false,
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+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+size 11421896

tokenizer_config.json

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+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
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+      "lstrip": false,
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+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are ReDiX, created by \"ReDiX Informatica\". You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are ReDiX, created by \"ReDiX Informatica\". You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|im_end|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}