| | --- |
| | base_model: vinai/phobert-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: checkpoint |
| | 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. --> |
| |
|
| | # checkpoint |
| |
|
| | This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.1674 |
| | - Accuracy: 0.4286 |
| |
|
| | ## 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: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.01 |
| | - num_epochs: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 7 | 1.3602 | 0.5714 | |
| | | No log | 2.0 | 14 | 1.3269 | 0.5714 | |
| | | No log | 3.0 | 21 | 1.2438 | 0.2857 | |
| | | No log | 4.0 | 28 | 1.1971 | 0.4286 | |
| | | No log | 5.0 | 35 | 1.2036 | 0.2857 | |
| | | No log | 6.0 | 42 | 1.1996 | 0.2857 | |
| | | No log | 7.0 | 49 | 1.1651 | 0.4286 | |
| | | No log | 8.0 | 56 | 1.1406 | 0.4286 | |
| | | No log | 9.0 | 63 | 1.1620 | 0.4286 | |
| | | No log | 10.0 | 70 | 1.1674 | 0.4286 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.31.0 |
| | - Pytorch 2.0.0 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.13.3 |
| | |
