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# bert-small-finetuned-cuad-full

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 portion of cuad dataset.

# Note 
The model was not trained on the whole dataset but, the first 10% of `train` + the first 10% of `test`.
```bash
raw_datasets_train, raw_datasets_test = load_dataset("cuad", split=['train[:10%]', 'test[:10%]']) 
datasets = DatasetDict({'train': raw_datasets_train, 'validation': raw_datasets_test})
```
{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["cuad"], "model-index": [{"name": "bert-small-finetuned-cuad-full", "results": []}]}
transformers pytorch tensorboard bert question-answering generated_from_trainer dataset:cuad license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #question-answering #generated_from_trainer #dataset-cuad #license-apache-2.0 #endpoints_compatible #region-us 




# bert-small-finetuned-cuad-full

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

# Note 
The model was not trained on the whole dataset but, the first 10% of 'train' + the first 10% of 'test'.

# bert-small-finetuned-cuad-full

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the portion of cuad dataset. # Note 
The model was not trained on the whole dataset but, the first 10% of 'train' + the first 10% of 'test'.
TAGS
#transformers #pytorch #tensorboard #bert #question-answering #generated_from_trainer #dataset-cuad #license-apache-2.0 #endpoints_compatible #region-us 
 # bert-small-finetuned-cuad-full

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the portion of cuad dataset. # Note 
The model was not trained on the whole dataset but, the first 10% of 'train' + the first 10% of 'test'.
passage: TAGS
#transformers #pytorch #tensorboard #bert #question-answering #generated_from_trainer #dataset-cuad #license-apache-2.0 #endpoints_compatible #region-us 
# bert-small-finetuned-cuad-full

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the portion of cuad dataset.# Note 
The model was not trained on the whole dataset but, the first 10% of 'train' + the first 10% of 'test'.