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# distilbert-base-cased-distilled-squad-finetuned-squad

This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5166
- eval_runtime: 308.8216
- eval_samples_per_second: 1.039
- eval_steps_per_second: 0.068
- epoch: 6.0
- step: 126

## 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: 10

### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "distilbert-base-cased-distilled-squad-finetuned-squad", "results": []}]}
transformers pytorch tensorboard distilbert question-answering generated_from_trainer license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #distilbert #question-answering #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 




# distilbert-base-cased-distilled-squad-finetuned-squad

This model is a fine-tuned version of distilbert-base-cased-distilled-squad on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5166
- eval_runtime: 308.8216
- eval_samples_per_second: 1.039
- eval_steps_per_second: 0.068
- epoch: 6.0
- step: 126

## 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: 10

### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3

# distilbert-base-cased-distilled-squad-finetuned-squad

This model is a fine-tuned version of distilbert-base-cased-distilled-squad on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5166
- eval_runtime: 308.8216
- eval_samples_per_second: 1.039
- eval_steps_per_second: 0.068
- epoch: 6.0
- step: 126 ## 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: 10 ### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #distilbert #question-answering #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 
 # distilbert-base-cased-distilled-squad-finetuned-squad

This model is a fine-tuned version of distilbert-base-cased-distilled-squad on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5166
- eval_runtime: 308.8216
- eval_samples_per_second: 1.039
- eval_steps_per_second: 0.068
- epoch: 6.0
- step: 126 ## 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: 10 ### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #distilbert #question-answering #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 
# distilbert-base-cased-distilled-squad-finetuned-squad

This model is a fine-tuned version of distilbert-base-cased-distilled-squad on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5166
- eval_runtime: 308.8216
- eval_samples_per_second: 1.039
- eval_steps_per_second: 0.068
- epoch: 6.0
- step: 126## 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: 10### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3