| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: vinai/phobert-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: phobert-finetuned-victsd-constructiveness |
| | 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. --> |
| |
|
| | # phobert-finetuned-victsd-constructiveness |
| |
|
| | This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5097 |
| | - Accuracy: 0.825 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 0.5138 | 1.0 | 219 | 0.3998 | 0.8105 | |
| | | 0.3885 | 2.0 | 438 | 0.3877 | 0.8225 | |
| | | 0.3178 | 3.0 | 657 | 0.4007 | 0.82 | |
| | | 0.2396 | 4.0 | 876 | 0.4487 | 0.8225 | |
| | | 0.1641 | 5.0 | 1095 | 0.5097 | 0.825 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.53.3 |
| | - Pytorch 2.7.1+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.21.2 |
| |
|
