| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - f1 | |
| base_model: Tanor/SRGPTSENTNEG4 | |
| model-index: | |
| - name: SRGPTSENTNEG4 | |
| 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. --> | |
| # SRGPTSENTNEG4 | |
| This model is a fine-tuned version of [Tanor/SRGPTSENTNEG4](https://huggingface.co/Tanor/SRGPTSENTNEG4) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.1827 | |
| - F1: 0.3902 | |
| ## 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: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 4 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 10 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | F1 | | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:| | |
| | 0.0327 | 1.0 | 3010 | 0.1860 | 0.1429 | | |
| | 0.0897 | 2.0 | 6020 | 0.1548 | 0.4211 | | |
| | 0.0361 | 3.0 | 9030 | 0.1446 | 0.4390 | | |
| | 0.0251 | 4.0 | 12041 | 0.2221 | 0.3896 | | |
| | 0.0095 | 5.0 | 15051 | 0.1827 | 0.3902 | | |
| ### Framework versions | |
| - Transformers 4.30.2 | |
| - Pytorch 2.1.0.dev20230715 | |
| - Datasets 2.13.1 | |
| - Tokenizers 0.13.3 | |