| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - finiteautomata/legal-definitions | |
| base_model: google/bert_uncased_L-4_H-512_A-8 | |
| model-index: | |
| - name: bert_uncased_L-4_H-512_A-8-finetuned-legal-definitions | |
| 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. --> | |
| # bert_uncased_L-4_H-512_A-8-finetuned-legal-definitions | |
| This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the legal-definitions dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.5162 | |
| ## 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: 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: 3.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:-----:|:---------------:| | |
| | 1.7317 | 1.0 | 6401 | 1.6642 | | |
| | 1.5578 | 2.0 | 12802 | 1.5784 | | |
| | 1.5051 | 3.0 | 19203 | 1.4970 | | |
| ### Framework versions | |
| - Transformers 4.21.1 | |
| - Pytorch 1.12.1+cu113 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |