| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - fever | |
| metrics: | |
| - f1 | |
| base_model: distilbert-base-cased | |
| model-index: | |
| - name: destilbert_fever_nli | |
| 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. --> | |
| # destilbert_fever_nli | |
| This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.5463 | |
| - F1: 0.6747 | |
| ## 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: 0.0001 | |
| - train_batch_size: 64 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - 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 | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| | |
| | No log | 1.0 | 235 | 1.2711 | 0.6671 | | |
| | No log | 2.0 | 470 | 1.8000 | 0.6538 | | |
| | 0.1341 | 3.0 | 705 | 1.6965 | 0.6770 | | |
| | 0.1341 | 4.0 | 940 | 1.8415 | 0.6619 | | |
| | 0.068 | 5.0 | 1175 | 1.7477 | 0.6682 | | |
| | 0.068 | 6.0 | 1410 | 2.2007 | 0.6695 | | |
| | 0.0435 | 7.0 | 1645 | 2.3327 | 0.6705 | | |
| | 0.0435 | 8.0 | 1880 | 2.3927 | 0.6729 | | |
| | 0.015 | 9.0 | 2115 | 2.4978 | 0.6721 | | |
| | 0.015 | 10.0 | 2350 | 2.5463 | 0.6747 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.1+cu116 | |
| - Datasets 2.8.0 | |
| - Tokenizers 0.13.2 |