| | --- |
| | base_model: klue/roberta-large |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: TC_model |
| | 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. --> |
| |
|
| | # TC_model |
| | |
| | This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5923 |
| | - Accuracy: 0.9405 |
| | |
| | ## 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: 2e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 85 | 0.6354 | 0.9167 | |
| | | No log | 2.0 | 170 | 0.5542 | 0.9048 | |
| | | No log | 3.0 | 255 | 0.4928 | 0.9405 | |
| | | No log | 4.0 | 340 | 0.5524 | 0.9405 | |
| | | No log | 5.0 | 425 | 0.5733 | 0.9405 | |
| | | 0.0575 | 6.0 | 510 | 0.5815 | 0.9405 | |
| | | 0.0575 | 7.0 | 595 | 0.5857 | 0.9405 | |
| | | 0.0575 | 8.0 | 680 | 0.5896 | 0.9405 | |
| | | 0.0575 | 9.0 | 765 | 0.5922 | 0.9405 | |
| | | 0.0575 | 10.0 | 850 | 0.5923 | 0.9405 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.39.3 |
| | - Pytorch 2.2.2+cu121 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.15.2 |
| | |
