
<!-- 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. -->

# gpt2-finetuned-cola

This model is a fine-tuned version of [microsoft/DialogRPT-updown](https://huggingface.co/microsoft/DialogRPT-updown) on the glue 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 4.22.0.dev0
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.11.0

{"tags": ["generated_from_trainer"], "datasets": ["glue"], "base_model": "microsoft/DialogRPT-updown", "model-index": [{"name": "gpt2-finetuned-cola", "results": []}]}
transformers pytorch safetensors gpt2 text-classification generated_from_trainer dataset:glue base_model:microsoft/DialogRPT-updown autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #safetensors #gpt2 #text-classification #generated_from_trainer #dataset-glue #base_model-microsoft/DialogRPT-updown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# gpt2-finetuned-cola

This model is a fine-tuned version of microsoft/DialogRPT-updown on the glue 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 4.22.0.dev0
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.11.0

# gpt2-finetuned-cola

This model is a fine-tuned version of microsoft/DialogRPT-updown on the glue 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 4.22.0.dev0
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.11.0
TAGS
#transformers #pytorch #safetensors #gpt2 #text-classification #generated_from_trainer #dataset-glue #base_model-microsoft/DialogRPT-updown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # gpt2-finetuned-cola

This model is a fine-tuned version of microsoft/DialogRPT-updown on the glue 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 4.22.0.dev0
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.11.0
passage: TAGS
#transformers #pytorch #safetensors #gpt2 #text-classification #generated_from_trainer #dataset-glue #base_model-microsoft/DialogRPT-updown #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# gpt2-finetuned-cola

This model is a fine-tuned version of microsoft/DialogRPT-updown on the glue 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 4.22.0.dev0
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.11.0