End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: FacebookAI/roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- rouge
+model-index:
+- name: c01f8e34aac09a94e0066c0e05588317
+  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. -->
+
+# c01f8e34aac09a94e0066c0e05588317
+
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the nyu-mll/glue [cola] dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7051
+- Data Size: 1.0
+- Epoch Runtime: 20.3889
+- Accuracy: 0.8301
+- F1 Macro: 0.7801
+- Rouge1: 0.8301
+- Rouge2: 0.0
+- Rougel: 0.8301
+- Rougelsum: 0.8301
+
+## 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    | 0.7508          | 0         | 1.3434        | 0.3115   | 0.2375   | 0.3105 | 0.0    | 0.3115 | 0.3115    |
+| No log        | 1     | 267  | 0.6534          | 0.0078    | 1.6531        | 0.6885   | 0.4078   | 0.6895 | 0.0    | 0.6885 | 0.6885    |
+| No log        | 2     | 534  | 0.7352          | 0.0156    | 1.7671        | 0.6885   | 0.4078   | 0.6895 | 0.0    | 0.6885 | 0.6885    |
+| No log        | 3     | 801  | 0.6148          | 0.0312    | 2.2797        | 0.6885   | 0.4078   | 0.6895 | 0.0    | 0.6885 | 0.6885    |
+| No log        | 4     | 1068 | 0.5366          | 0.0625    | 2.9324        | 0.6904   | 0.4145   | 0.6904 | 0.0    | 0.6904 | 0.6904    |
+| 0.0343        | 5     | 1335 | 0.6498          | 0.125     | 4.2355        | 0.7295   | 0.5479   | 0.7295 | 0.0    | 0.7295 | 0.7305    |
+| 0.4681        | 6     | 1602 | 0.4779          | 0.25      | 6.6104        | 0.7959   | 0.7216   | 0.7959 | 0.0    | 0.7959 | 0.7959    |
+| 0.4279        | 7     | 1869 | 0.5325          | 0.5       | 11.3156       | 0.7773   | 0.6644   | 0.7773 | 0.0    | 0.7773 | 0.7773    |
+| 0.3358        | 8.0   | 2136 | 0.4419          | 1.0       | 21.0993       | 0.8213   | 0.7759   | 0.8203 | 0.0    | 0.8213 | 0.8213    |
+| 0.2166        | 9.0   | 2403 | 0.4798          | 1.0       | 20.6877       | 0.8242   | 0.7731   | 0.8242 | 0.0    | 0.8242 | 0.8242    |
+| 0.2188        | 10.0  | 2670 | 0.5300          | 1.0       | 20.6852       | 0.8359   | 0.7945   | 0.8359 | 0.0    | 0.8359 | 0.8359    |
+| 0.164         | 11.0  | 2937 | 0.4815          | 1.0       | 20.2574       | 0.8164   | 0.7685   | 0.8164 | 0.0    | 0.8154 | 0.8174    |
+| 0.1603        | 12.0  | 3204 | 0.7051          | 1.0       | 20.3889       | 0.8301   | 0.7801   | 0.8301 | 0.0    | 0.8301 | 0.8301    |
+
+
+### Framework versions
+
+- Transformers 4.57.0
+- Pytorch 2.8.0+cu128
+- Datasets 4.3.0
+- Tokenizers 0.22.1

config.json

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+{
+  "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

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b914d7362772f8820a9f36dadb705de25c177a491b52b91966bf1853a066863b
+size 498612824

special_tokens_map.json

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+{
+  "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

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+{
+  "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
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+    "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

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+size 5969