| | --- |
| | base_model: hung200504/test-bert-2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: test-bert-3 |
| | 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. --> |
| |
|
| | # test-bert-3 |
| |
|
| | This model is a fine-tuned version of [hung200504/test-bert-2](https://huggingface.co/hung200504/test-bert-2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 11.6031 |
| |
|
| | ## 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-05 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 10.6386 | 0.09 | 5 | 11.9162 | |
| | | 10.5413 | 0.18 | 10 | 11.8580 | |
| | | 10.0927 | 0.27 | 15 | 11.8059 | |
| | | 10.4313 | 0.36 | 20 | 11.7598 | |
| | | 10.3152 | 0.45 | 25 | 11.7196 | |
| | | 10.4342 | 0.55 | 30 | 11.6852 | |
| | | 9.8252 | 0.64 | 35 | 11.6565 | |
| | | 9.7464 | 0.73 | 40 | 11.6349 | |
| | | 10.1302 | 0.82 | 45 | 11.6187 | |
| | | 9.95 | 0.91 | 50 | 11.6080 | |
| | | 10.2359 | 1.0 | 55 | 11.6031 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.1 |
| | - Pytorch 2.1.0+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| |
|
