
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# electra-small-discriminator-finetuned-squad-finetuned-squad

This model is a fine-tuned version of [bdickson/electra-small-discriminator-finetuned-squad](https://huggingface.co/bdickson/electra-small-discriminator-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: 5

### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1

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




# electra-small-discriminator-finetuned-squad-finetuned-squad

This model is a fine-tuned version of bdickson/electra-small-discriminator-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: 5

### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1

# electra-small-discriminator-finetuned-squad-finetuned-squad

This model is a fine-tuned version of bdickson/electra-small-discriminator-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: 5 ### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
TAGS
#transformers #pytorch #electra #question-answering #generated_from_trainer #dataset-squad #endpoints_compatible #region-us 
 # electra-small-discriminator-finetuned-squad-finetuned-squad

This model is a fine-tuned version of bdickson/electra-small-discriminator-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: 5 ### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #electra #question-answering #generated_from_trainer #dataset-squad #endpoints_compatible #region-us 
# electra-small-discriminator-finetuned-squad-finetuned-squad

This model is a fine-tuned version of bdickson/electra-small-discriminator-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: 5### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1