| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - albertvillanova/legal_contracts | |
| base_model: google/bert_uncased_L-4_H-512_A-8 | |
| model-index: | |
| - name: bert-small-finetuned-legal-contracts-larger4010 | |
| 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-small-finetuned-legal-contracts-larger4010 | |
| 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 None dataset. | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| The model was not trained on the whole dataset which is around 9.5 GB, but only | |
| The first 40% of `train` + the last 10% of `train`. | |
| ```bash | |
| datasets_train = load_dataset('albertvillanova/legal_contracts' , split='train[:40%]') | |
| datasets_validation = load_dataset('albertvillanova/legal_contracts' , split='train[-10%:]') | |
| ``` | |
| The following hyperparameters were used during training: | |
| - learning_rate: 2e-05 | |
| - train_batch_size: 128 | |
| - 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 | |
| ### Framework versions | |
| - Transformers 4.21.1 | |
| - Pytorch 1.12.1+cu113 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |