
# bert-tiny-finetuned-legal-contracts-longer

This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/google/google/bert_uncased_L-4_H-512_A-8) on the portion of legal_contracts dataset for 1 epoch.

# Note 
The model was not trained on the whole dataset which is around 9.5 GB, but only 

## The first 20% of `train` + the last 5% of `train`.

```bash
datasets_train = load_dataset('albertvillanova/legal_contracts' , split='train[:20%]')
datasets_validation = load_dataset('albertvillanova/legal_contracts' , split='train[-5%:]')
```


{"datasets": ["albertvillanova/legal_contracts"]}
transformers pytorch tensorboard bert fill-mask dataset:albertvillanova/legal_contracts autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #fill-mask #dataset-albertvillanova/legal_contracts #autotrain_compatible #endpoints_compatible #region-us 


# bert-tiny-finetuned-legal-contracts-longer

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the portion of legal_contracts dataset for 1 epoch.

# Note 
The model was not trained on the whole dataset which is around 9.5 GB, but only 

## The first 20% of 'train' + the last 5% of 'train'.




# bert-tiny-finetuned-legal-contracts-longer

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the portion of legal_contracts dataset for 1 epoch. # Note 
The model was not trained on the whole dataset which is around 9.5 GB, but only ## The first 20% of 'train' + the last 5% of 'train'.
TAGS
#transformers #pytorch #tensorboard #bert #fill-mask #dataset-albertvillanova/legal_contracts #autotrain_compatible #endpoints_compatible #region-us 
 # bert-tiny-finetuned-legal-contracts-longer

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the portion of legal_contracts dataset for 1 epoch. # Note 
The model was not trained on the whole dataset which is around 9.5 GB, but only ## The first 20% of 'train' + the last 5% of 'train'.
TAGS
#transformers #pytorch #tensorboard #bert #fill-mask #dataset-albertvillanova/legal_contracts #autotrain_compatible #endpoints_compatible #region-us 
# bert-tiny-finetuned-legal-contracts-longer

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the portion of legal_contracts dataset for 1 epoch.# Note 
The model was not trained on the whole dataset which is around 9.5 GB, but only## The first 20% of 'train' + the last 5% of 'train'.