| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - lex_glue | |
| model-index: | |
| - name: ECHR_test_2 | |
| 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. --> | |
| # ECHR_test_2 | |
| This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the lex_glue dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2487 | |
| - Macro-f1: 0.4052 | |
| - Micro-f1: 0.5660 | |
| ## 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: 0.001 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Macro-f1 | Micro-f1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| | |
| | 0.2056 | 0.44 | 500 | 0.2846 | 0.3335 | 0.4763 | | |
| | 0.1698 | 0.89 | 1000 | 0.2487 | 0.4052 | 0.5660 | | |
| ### Framework versions | |
| - Transformers 4.19.2 | |
| - Pytorch 1.11.0+cu113 | |
| - Datasets 2.2.2 | |
| - Tokenizers 0.12.1 | |