| license: gpl-3.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: IceBERT-finetuned-grouped | |
| 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-grouped | |
| 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: 3.5660 | |
| - Accuracy: 0.2259 | |
| ## 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 | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | No log | 1.0 | 269 | 4.1727 | 0.1172 | | |
| | 4.3535 | 2.0 | 538 | 3.8406 | 0.1632 | | |
| | 4.3535 | 3.0 | 807 | 3.6718 | 0.2113 | | |
| | 3.6711 | 4.0 | 1076 | 3.5660 | 0.2259 | | |
| | 3.6711 | 5.0 | 1345 | 3.5332 | 0.2176 | | |
| ### Framework versions | |
| - Transformers 4.12.5 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 1.15.1 | |
| - Tokenizers 0.10.3 | |