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--- |
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library_name: transformers |
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license: mit |
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base_model: FacebookAI/roberta-large |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: fine_tuned_main_raid |
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results: [] |
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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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# fine_tuned_main_raid |
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This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0711 |
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- Accuracy: 0.9843 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 0.2533 | 0.0139 | 100 | 0.1743 | 0.9663 | |
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| 0.1848 | 0.0277 | 200 | 0.1058 | 0.9768 | |
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| 0.1832 | 0.0416 | 300 | 0.0924 | 0.9796 | |
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| 0.1199 | 0.0554 | 400 | 0.0854 | 0.9813 | |
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| 0.1294 | 0.0693 | 500 | 0.2504 | 0.9471 | |
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| 0.1755 | 0.0832 | 600 | 0.1885 | 0.9646 | |
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| 0.0831 | 0.0970 | 700 | 0.0831 | 0.9855 | |
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| 0.1051 | 0.1109 | 800 | 0.0711 | 0.9843 | |
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| 0.1411 | 0.1248 | 900 | 0.2770 | 0.9637 | |
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| 0.0761 | 0.1386 | 1000 | 0.0922 | 0.9835 | |
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| 0.1178 | 0.1525 | 1100 | 0.2174 | 0.9649 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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