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# output

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on a dataset of Shakespeare's plays.

## Model description

The model is the original gpt-2 model fine-tuned on a custom dataset.

## Intended uses & limitations

The model can be used to generate Shakespearean-like text. Consider that because it comes from plays, such a typographical structure might be reproduced.

## Training and evaluation data

Trained with Shakespeare's plays corpus.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0

### Training results



### Framework versions

- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.18.0
- Tokenizers 0.11.0

{"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "output", "results": []}]}
transformers pytorch gpt2 text-generation generated_from_trainer license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# output

This model is a fine-tuned version of gpt2 on a dataset of Shakespeare's plays.

## Model description

The model is the original gpt-2 model fine-tuned on a custom dataset.

## Intended uses & limitations

The model can be used to generate Shakespearean-like text. Consider that because it comes from plays, such a typographical structure might be reproduced.

## Training and evaluation data

Trained with Shakespeare's plays corpus.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0

### Training results



### Framework versions

- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.18.0
- Tokenizers 0.11.0

# output

This model is a fine-tuned version of gpt2 on a dataset of Shakespeare's plays. ## Model description

The model is the original gpt-2 model fine-tuned on a custom dataset. ## Intended uses & limitations

The model can be used to generate Shakespearean-like text. Consider that because it comes from plays, such a typographical structure might be reproduced. ## Training and evaluation data

Trained with Shakespeare's plays corpus. ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0 ### Training results ### Framework versions

- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.18.0
- Tokenizers 0.11.0
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # output

This model is a fine-tuned version of gpt2 on a dataset of Shakespeare's plays. ## Model description

The model is the original gpt-2 model fine-tuned on a custom dataset. ## Intended uses & limitations

The model can be used to generate Shakespearean-like text. Consider that because it comes from plays, such a typographical structure might be reproduced. ## Training and evaluation data

Trained with Shakespeare's plays corpus. ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0 ### Training results ### Framework versions

- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.18.0
- Tokenizers 0.11.0
passage: TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# output

This model is a fine-tuned version of gpt2 on a dataset of Shakespeare's plays.## Model description

The model is the original gpt-2 model fine-tuned on a custom dataset.## Intended uses & limitations

The model can be used to generate Shakespearean-like text. Consider that because it comes from plays, such a typographical structure might be reproduced.## Training and evaluation data

Trained with Shakespeare's plays corpus.## Training procedure### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0### Training results### Framework versions

- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.18.0
- Tokenizers 0.11.0