| tags: | |
| - generated_from_trainer | |
| base_model: Tanor/BERTicSENTNEG0 | |
| metrics: | |
| - f1 | |
| model-index: | |
| - name: BERTicSENTNEG0 | |
| 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. --> | |
| # BERTicSENTNEG0 | |
| This model is a fine-tuned version of [Tanor/BERTicSENTNEG0](https://huggingface.co/Tanor/BERTicSENTNEG0) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0306 | |
| - F1: 0.8 | |
| ## 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 | 1.0 | 47 | 0.0248 | 0.7 | | |
| | No log | 2.0 | 94 | 0.0281 | 0.7 | | |
| | No log | 3.0 | 141 | 0.0249 | 0.7179 | | |
| | No log | 4.0 | 188 | 0.0306 | 0.8 | | |
| ### Framework versions | |
| - Transformers 4.40.1 | |
| - Pytorch 2.2.2 | |
| - Datasets 2.19.0 | |
| - Tokenizers 0.19.1 | |