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End of training

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+ ---
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+ base_model: FacebookAI/roberta-base
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+ library_name: peft
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+ license: mit
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+ metrics:
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+ - accuracy
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: roberta-peft-category
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # roberta-peft-category
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+
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+ This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1887
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+ - Accuracy: 0.5677
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 438 | 1.7350 | 0.4407 |
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+ | 1.9939 | 2.0 | 876 | 1.3357 | 0.5237 |
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+ | 1.4105 | 3.0 | 1314 | 1.2692 | 0.543 |
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+ | 1.2682 | 4.0 | 1752 | 1.2368 | 0.5527 |
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+ | 1.2304 | 5.0 | 2190 | 1.2191 | 0.5537 |
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+ | 1.1785 | 6.0 | 2628 | 1.2062 | 0.5553 |
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+ | 1.1621 | 7.0 | 3066 | 1.1958 | 0.5633 |
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+ | 1.1481 | 8.0 | 3504 | 1.1931 | 0.564 |
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+ | 1.1481 | 9.0 | 3942 | 1.1900 | 0.5633 |
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+ | 1.1424 | 10.0 | 4380 | 1.1887 | 0.5677 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.13.2
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+ - Transformers 4.44.2
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+ - Pytorch 2.5.0+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.19.1