
# 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%:]')
```



{"datasets": ["albertvillanova/legal_contracts"], "base_model": "google/bert_uncased_L-2_H-128_A-2"}
transformers pytorch tensorboard safetensors bert fill-mask dataset:albertvillanova/legal_contracts base_model:google/bert_uncased_L-2_H-128_A-2 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #safetensors #bert #fill-mask #dataset-albertvillanova/legal_contracts #base_model-google/bert_uncased_L-2_H-128_A-2 #autotrain_compatible #endpoints_compatible #region-us 


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

This model is a fine-tuned version of 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'.





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

This model is a fine-tuned version of 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'.
TAGS
#transformers #pytorch #tensorboard #safetensors #bert #fill-mask #dataset-albertvillanova/legal_contracts #base_model-google/bert_uncased_L-2_H-128_A-2 #autotrain_compatible #endpoints_compatible #region-us 
 # bert-tiny-finetuned-legal-contracts-longer

This model is a fine-tuned version of 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'.
passage: TAGS
#transformers #pytorch #tensorboard #safetensors #bert #fill-mask #dataset-albertvillanova/legal_contracts #base_model-google/bert_uncased_L-2_H-128_A-2 #autotrain_compatible #endpoints_compatible #region-us 
# bert-tiny-finetuned-legal-contracts-longer

This model is a fine-tuned version of 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'.