End of training

README.md

@@ -0,0 +1,83 @@
+---
+library_name: transformers
+license: mit
+base_model: FacebookAI/roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- rouge
+model-index:
+- name: 39c56382a1dbd7f04d8a094ceafe2fd5
+  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. -->
+
+# 39c56382a1dbd7f04d8a094ceafe2fd5
+
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the nyu-mll/glue [qqp] dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3652
+- Data Size: 1.0
+- Epoch Runtime: 832.4869
+- Accuracy: 0.8682
+- F1 Macro: 0.8612
+- Rouge1: 0.8682
+- Rouge2: 0.0
+- Rougel: 0.8682
+- Rougelsum: 0.8682
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:------:|:---------------:|:---------:|:-------------:|:--------:|:--------:|:------:|:------:|:------:|:---------:|
+| No log        | 0     | 0      | 0.6681          | 0         | 29.1760       | 0.6320   | 0.3872   | 0.6318 | 0.0    | 0.6319 | 0.6317    |
+| 0.5973        | 1     | 11370  | 0.4370          | 0.0078    | 35.5348       | 0.7962   | 0.7842   | 0.7962 | 0.0    | 0.7963 | 0.7962    |
+| 0.4472        | 2     | 22740  | 0.3972          | 0.0156    | 41.8248       | 0.8220   | 0.8086   | 0.8220 | 0.0    | 0.8221 | 0.8219    |
+| 0.4068        | 3     | 34110  | 0.3755          | 0.0312    | 53.8164       | 0.8344   | 0.8172   | 0.8344 | 0.0    | 0.8345 | 0.8344    |
+| 0.3627        | 4     | 45480  | 0.3833          | 0.0625    | 77.8531       | 0.8436   | 0.8278   | 0.8435 | 0.0    | 0.8435 | 0.8436    |
+| 0.3309        | 5     | 56850  | 0.3324          | 0.125     | 128.4601      | 0.8548   | 0.8398   | 0.8547 | 0.0    | 0.8548 | 0.8548    |
+| 0.3204        | 6     | 68220  | 0.3055          | 0.25      | 227.7489      | 0.8698   | 0.8624   | 0.8698 | 0.0    | 0.8698 | 0.8698    |
+| 0.3086        | 7     | 79590  | 0.3167          | 0.5       | 434.9633      | 0.8594   | 0.8543   | 0.8595 | 0.0    | 0.8595 | 0.8595    |
+| 0.3348        | 8.0   | 90960  | 0.3484          | 1.0       | 839.5986      | 0.8614   | 0.8554   | 0.8614 | 0.0    | 0.8615 | 0.8616    |
+| 0.3537        | 9.0   | 102330 | 0.3340          | 1.0       | 830.1252      | 0.8582   | 0.8470   | 0.8582 | 0.0    | 0.8583 | 0.8583    |
+| 0.2946        | 10.0  | 113700 | 0.3652          | 1.0       | 832.4869      | 0.8682   | 0.8612   | 0.8682 | 0.0    | 0.8682 | 0.8682    |
+
+
+### Framework versions
+
+- Transformers 4.57.0
+- Pytorch 2.8.0+cu128
+- Datasets 4.3.0
+- Tokenizers 0.22.1

config.json

@@ -0,0 +1,27 @@
+{
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.57.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fa7b8be94b292d84503c57ca243e763055eb0f009099265581eb74eaa96bd697
+size 498612824

special_tokens_map.json

@@ -0,0 +1,15 @@
+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

@@ -0,0 +1,58 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:385bfee9fa204595173d9a561a8d48f3b1c0cc25f396611bab7f748a686c3b9f
+size 5969