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# GPT-Neo_DnD_Control

This model is a fine-tuned version of [PatrickTyBrown/GPT-Neo_DnD](https://huggingface.co/PatrickTyBrown/GPT-Neo_DnD) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.6518
- eval_runtime: 141.422
- eval_samples_per_second: 6.527
- eval_steps_per_second: 3.267
- epoch: 3.9
- step: 36000

## 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: 1.5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Framework versions

- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "model-index": [{"name": "GPT-Neo_DnD_Control", "results": []}]}
transformers pytorch tensorboard gpt_neo text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #gpt_neo #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 




# GPT-Neo_DnD_Control

This model is a fine-tuned version of PatrickTyBrown/GPT-Neo_DnD on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.6518
- eval_runtime: 141.422
- eval_samples_per_second: 6.527
- eval_steps_per_second: 3.267
- epoch: 3.9
- step: 36000

## 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: 1.5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Framework versions

- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1

# GPT-Neo_DnD_Control

This model is a fine-tuned version of PatrickTyBrown/GPT-Neo_DnD on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.6518
- eval_runtime: 141.422
- eval_samples_per_second: 6.527
- eval_steps_per_second: 3.267
- epoch: 3.9
- step: 36000 ## 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: 1.5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5 ### Framework versions

- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #gpt_neo #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 # GPT-Neo_DnD_Control

This model is a fine-tuned version of PatrickTyBrown/GPT-Neo_DnD on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.6518
- eval_runtime: 141.422
- eval_samples_per_second: 6.527
- eval_steps_per_second: 3.267
- epoch: 3.9
- step: 36000 ## 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: 1.5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5 ### Framework versions

- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #gpt_neo #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
# GPT-Neo_DnD_Control

This model is a fine-tuned version of PatrickTyBrown/GPT-Neo_DnD on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.6518
- eval_runtime: 141.422
- eval_samples_per_second: 6.527
- eval_steps_per_second: 3.267
- epoch: 3.9
- step: 36000## 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: 1.5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5### Framework versions

- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1