| license: gpl-3.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - matthews_correlation | |
| base_model: vesteinn/IceBERT | |
| model-index: | |
| - name: IceBERT-finetuned-iec-sentence-bs16 | |
| 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. --> | |
| # IceBERT-finetuned-iec-sentence-bs16 | |
| This model is a fine-tuned version of [vesteinn/IceBERT](https://huggingface.co/vesteinn/IceBERT) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2508 | |
| - Matthews Correlation: 0.8169 | |
| ## 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: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------------------:| | |
| | 0.5278 | 1.0 | 3640 | 0.4777 | 0.5396 | | |
| | 0.4648 | 2.0 | 7280 | 0.3886 | 0.6437 | | |
| | 0.3807 | 3.0 | 10920 | 0.3478 | 0.7060 | | |
| | 0.3061 | 4.0 | 14560 | 0.2523 | 0.8083 | | |
| | 0.2477 | 5.0 | 18200 | 0.2508 | 0.8169 | | |
| ### Framework versions | |
| - Transformers 4.12.3 | |
| - Pytorch 1.8.0 | |
| - Datasets 1.15.1 | |
| - Tokenizers 0.10.3 | |