Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: FacebookAI/roberta-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: roberta-large-csb_1
+  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. -->
+
+# roberta-large-csb_1
+
+This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2773
+- Accuracy: 0.9011
+- F1: 0.9010
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.5696        | 1.0   | 57   | 0.3749          | 0.8308   | 0.8307 |
+| 0.3637        | 2.0   | 114  | 0.2749          | 0.8813   | 0.8812 |
+| 0.3087        | 3.0   | 171  | 0.2479          | 0.8813   | 0.8813 |
+| 0.2497        | 4.0   | 228  | 0.2415          | 0.8923   | 0.8919 |
+| 0.2025        | 5.0   | 285  | 0.2773          | 0.9011   | 0.9010 |
+| 0.1521        | 6.0   | 342  | 0.3194          | 0.8791   | 0.8790 |
+| 0.1251        | 7.0   | 399  | 0.4850          | 0.8681   | 0.8664 |
+| 0.0496        | 8.0   | 456  | 0.5794          | 0.8725   | 0.8710 |
+| 0.0241        | 9.0   | 513  | 0.5833          | 0.8747   | 0.8738 |
+| 0.0221        | 10.0  | 570  | 0.6399          | 0.8725   | 0.8713 |
+
+
+### Framework versions
+
+- Transformers 4.57.3
+- Pytorch 2.2.1
+- Datasets 4.4.1
+- Tokenizers 0.22.1

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roberta-large_best/config.json

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+  "model_type": "roberta",
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+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.57.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

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roberta-large_best/tokenizer_config.json

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roberta-large_best/training_args.bin

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