| --- |
| base_model: vinai/phobert-base-v2 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: 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. --> |
|
|
| # model |
|
|
| This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1373 |
| - Accuracy: 0.9709 |
|
|
| ## 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: 5e-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: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 95 | 1.0978 | 0.8201 | |
| | No log | 2.0 | 190 | 0.5250 | 0.9392 | |
| | No log | 3.0 | 285 | 0.3076 | 0.9418 | |
| | No log | 4.0 | 380 | 0.2149 | 0.9471 | |
| | No log | 5.0 | 475 | 0.2237 | 0.9497 | |
| | 0.6823 | 6.0 | 570 | 0.1904 | 0.9630 | |
| | 0.6823 | 7.0 | 665 | 0.1716 | 0.9656 | |
| | 0.6823 | 8.0 | 760 | 0.1373 | 0.9709 | |
| | 0.6823 | 9.0 | 855 | 0.1403 | 0.9683 | |
| | 0.6823 | 10.0 | 950 | 0.1374 | 0.9709 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.36.1 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
|
|
