| | --- |
| | base_model: clicknext/phayathaibert |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: wisesight_sentiment |
| | 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. --> |
| |
|
| | # wisesight_sentiment |
| | |
| | This model is a fine-tuned version of [clicknext/phayathaibert](https://huggingface.co/clicknext/phayathaibert) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - eval_loss: 0.6884 |
| | - eval_micro_average_f1: 0.7442 |
| | - eval_macro_average_f1: 0.6334 |
| | - eval_class_f1: {'pos': 0.5728155339805825, 'neu': 0.7831094049904032, 'neg': 0.8028059236165237, 'q': 0.375} |
| | - eval_runtime: 7.5819 |
| | - eval_samples_per_second: 317.072 |
| | - eval_steps_per_second: 19.916 |
| | - epoch: 0.3698 |
| | - step: 500 |
| | |
| | ## 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: 3e-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 |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 3 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.40.1 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.19.1 |
| |
|
