| license: cc-by-sa-4.0 | |
| tags: | |
| - generated_from_trainer | |
| base_model: jerteh/Jerteh-355 | |
| metrics: | |
| - f1 | |
| model-index: | |
| - name: Jerteh355SENTPOS2 | |
| 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. --> | |
| # Jerteh355SENTPOS2 | |
| This model is a fine-tuned version of [jerteh/Jerteh-355](https://huggingface.co/jerteh/Jerteh-355) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0611 | |
| - F1: 0.6842 | |
| ## 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: 16 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 256 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 32 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | F1 | | |
| |:-------------:|:------:|:----:|:---------------:|:------:| | |
| | No log | 0.9895 | 47 | 0.0469 | 0.24 | | |
| | No log | 2.0 | 95 | 0.0639 | 0.4138 | | |
| | No log | 2.9895 | 142 | 0.0557 | 0.6111 | | |
| | No log | 4.0 | 190 | 0.0611 | 0.6842 | | |
| ### Framework versions | |
| - Transformers 4.40.1 | |
| - Pytorch 2.2.2 | |
| - Datasets 2.19.0 | |
| - Tokenizers 0.19.1 | |