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# squeezebert-uncased-finetuned-squad-finetuned-squad

This model is a fine-tuned version of [SupriyaArun/squeezebert-uncased-finetuned-squad](https://huggingface.co/SupriyaArun/squeezebert-uncased-finetuned-squad) on the squad dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Framework versions

- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3

{"tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "squeezebert-uncased-finetuned-squad-finetuned-squad", "results": []}]}
transformers pytorch squeezebert question-answering generated_from_trainer dataset:squad endpoints_compatible region:us
TAGS
#transformers #pytorch #squeezebert #question-answering #generated_from_trainer #dataset-squad #endpoints_compatible #region-us 




# squeezebert-uncased-finetuned-squad-finetuned-squad

This model is a fine-tuned version of SupriyaArun/squeezebert-uncased-finetuned-squad on the squad dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Framework versions

- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3

# squeezebert-uncased-finetuned-squad-finetuned-squad

This model is a fine-tuned version of SupriyaArun/squeezebert-uncased-finetuned-squad on the squad dataset. ## Model description

More information needed ## Intended uses & limitations

More information needed ## Training and evaluation data

More information needed ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3 ### Framework versions

- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
TAGS
#transformers #pytorch #squeezebert #question-answering #generated_from_trainer #dataset-squad #endpoints_compatible #region-us 
 # squeezebert-uncased-finetuned-squad-finetuned-squad

This model is a fine-tuned version of SupriyaArun/squeezebert-uncased-finetuned-squad on the squad dataset. ## Model description

More information needed ## Intended uses & limitations

More information needed ## Training and evaluation data

More information needed ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3 ### Framework versions

- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #squeezebert #question-answering #generated_from_trainer #dataset-squad #endpoints_compatible #region-us 
# squeezebert-uncased-finetuned-squad-finetuned-squad

This model is a fine-tuned version of SupriyaArun/squeezebert-uncased-finetuned-squad on the squad dataset.## Model description

More information needed## Intended uses & limitations

More information needed## Training and evaluation data

More information needed## Training procedure### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3### Framework versions

- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3