| | --- |
| | base_model: vinai/phobert-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | - precision |
| | - recall |
| | model-index: |
| | - name: my_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_without_stopwords |
| |
|
| | 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: 0.3275 |
| | - F1: 0.7678 |
| | - Precision: 0.7851 |
| | - Recall: 0.7512 |
| |
|
| | ## 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: 2e-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: 2 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:| |
| | | 0.1919 | 1.0 | 2423 | 0.3585 | 0.7545 | 0.7644 | 0.7448 | |
| | | 0.2079 | 2.0 | 4846 | 0.3275 | 0.7678 | 0.7851 | 0.7512 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.33.0 |
| | - Pytorch 2.0.0 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.13.3 |
| |
|
