bert-small-finetuned-legal-contracts-larger4010
This model is a fine-tuned version of 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.
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