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# distiled_bert-finetuned-squad_v2

This model is a fine-tuned version of [johnjose223/distiled_bert-finetuned-squad_v2](https://huggingface.co/johnjose223/distiled_bert-finetuned-squad_v2) on the squad_v2 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "datasets": ["squad_v2"], "model-index": [{"name": "distiled_bert-finetuned-squad_v2", "results": []}]}
transformers pytorch tensorboard safetensors distilbert question-answering generated_from_trainer dataset:squad_v2 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #dataset-squad_v2 #endpoints_compatible #region-us 




# distiled_bert-finetuned-squad_v2

This model is a fine-tuned version of johnjose223/distiled_bert-finetuned-squad_v2 on the squad_v2 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2

# distiled_bert-finetuned-squad_v2

This model is a fine-tuned version of johnjose223/distiled_bert-finetuned-squad_v2 on the squad_v2 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1 ### Training results ### Framework versions

- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #dataset-squad_v2 #endpoints_compatible #region-us 
 # distiled_bert-finetuned-squad_v2

This model is a fine-tuned version of johnjose223/distiled_bert-finetuned-squad_v2 on the squad_v2 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1 ### Training results ### Framework versions

- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #dataset-squad_v2 #endpoints_compatible #region-us 
# distiled_bert-finetuned-squad_v2

This model is a fine-tuned version of johnjose223/distiled_bert-finetuned-squad_v2 on the squad_v2 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1### Training results### Framework versions

- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2