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--- |
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base_model: klue/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: TC_model |
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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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# TC_model |
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This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5923 |
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- Accuracy: 0.9405 |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 85 | 0.6354 | 0.9167 | |
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| No log | 2.0 | 170 | 0.5542 | 0.9048 | |
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| No log | 3.0 | 255 | 0.4928 | 0.9405 | |
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| No log | 4.0 | 340 | 0.5524 | 0.9405 | |
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| No log | 5.0 | 425 | 0.5733 | 0.9405 | |
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| 0.0575 | 6.0 | 510 | 0.5815 | 0.9405 | |
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| 0.0575 | 7.0 | 595 | 0.5857 | 0.9405 | |
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| 0.0575 | 8.0 | 680 | 0.5896 | 0.9405 | |
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| 0.0575 | 9.0 | 765 | 0.5922 | 0.9405 | |
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| 0.0575 | 10.0 | 850 | 0.5923 | 0.9405 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.15.2 |
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