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---
datasets:
- albertvillanova/legal_contracts
base_model: google/bert_uncased_L-2_H-128_A-2
---
# bert-tiny-finetuned-legal-contracts-longer
This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/google/bert_uncased_L-2_H-128_A-2) on the portion of legal_contracts dataset but for longer epochs.
# Note
The model was not trained on the whole dataset which is around 9.5 GB, but only
## The first 10% of `train` + the last 10% of `train`.
```bash
datasets_train = load_dataset('albertvillanova/legal_contracts' , split='train[:10%]')
datasets_validation = load_dataset('albertvillanova/legal_contracts' , split='train[-10%:]')
```
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