| | --- |
| | license: cc-by-4.0 |
| | base_model: hung200504/bert-21 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bert-31 |
| | 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. --> |
| |
|
| | # bert-31 |
| |
|
| | This model is a fine-tuned version of [hung200504/bert-21](https://huggingface.co/hung200504/bert-21) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 9.6564 |
| |
|
| | ## 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: 3e-06 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 1 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 10.8389 | 0.09 | 5 | 11.6872 | |
| | | 10.6506 | 0.18 | 10 | 11.3129 | |
| | | 9.9367 | 0.27 | 15 | 10.9748 | |
| | | 9.7504 | 0.36 | 20 | 10.6767 | |
| | | 9.4789 | 0.45 | 25 | 10.4164 | |
| | | 9.3145 | 0.55 | 30 | 10.1941 | |
| | | 8.4653 | 0.64 | 35 | 10.0120 | |
| | | 8.9579 | 0.73 | 40 | 9.8679 | |
| | | 8.3746 | 0.82 | 45 | 9.7613 | |
| | | 8.3205 | 0.91 | 50 | 9.6904 | |
| | | 8.0754 | 1.0 | 55 | 9.6564 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.1 |
| | - Pytorch 2.1.0+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| |
|
