| base_model: vinai/phobert-base-v2 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - recall | |
| - precision | |
| model-index: | |
| - name: cls_comment-phobert-base-v2-v1.0 | |
| 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. --> | |
| # cls_comment-phobert-base-v2-v1.0 | |
| This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2202 | |
| - Accuracy: 0.9181 | |
| - F1 Score: 0.8517 | |
| - Recall: 0.8617 | |
| - Precision: 0.8419 | |
| ## 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: 64 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 128 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score | Recall | Precision | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------:|:---------:| | |
| | 0.2545 | 1.0 | 234 | 0.2509 | 0.8981 | 0.8068 | 0.7796 | 0.8360 | | |
| | 0.208 | 2.0 | 469 | 0.2259 | 0.9098 | 0.8399 | 0.8666 | 0.8148 | | |
| | 0.1675 | 2.99 | 702 | 0.2202 | 0.9181 | 0.8517 | 0.8617 | 0.8419 | | |
| ### Framework versions | |
| - Transformers 4.38.1 | |
| - Pytorch 2.1.0+cu121 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 | |