---
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