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# IFIS_ZORK_AI_MEDIUM_HORROR

This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unkown 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.8.2
- Pytorch 1.9.0+cu102
- Tokenizers 0.10.3

{"tags": ["generated_from_trainer"], "model_index": [{"name": "IFIS_ZORK_AI_MEDIUM_HORROR", "results": [{"task": {"name": "Causal Language Modeling", "type": "text-generation"}}]}]}
transformers pytorch tensorboard gpt2 text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# IFIS_ZORK_AI_MEDIUM_HORROR

This model is a fine-tuned version of gpt2-medium on an unkown 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.8.2
- Pytorch 1.9.0+cu102
- Tokenizers 0.10.3

# IFIS_ZORK_AI_MEDIUM_HORROR

This model is a fine-tuned version of gpt2-medium on an unkown 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 3 ### Training results ### Framework versions

- Transformers 4.8.2
- Pytorch 1.9.0+cu102
- Tokenizers 0.10.3
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # IFIS_ZORK_AI_MEDIUM_HORROR

This model is a fine-tuned version of gpt2-medium on an unkown 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 3 ### Training results ### Framework versions

- Transformers 4.8.2
- Pytorch 1.9.0+cu102
- Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# IFIS_ZORK_AI_MEDIUM_HORROR

This model is a fine-tuned version of gpt2-medium on an unkown 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 3### Training results### Framework versions

- Transformers 4.8.2
- Pytorch 1.9.0+cu102
- Tokenizers 0.10.3