
<!-- 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. -->

# gpt2xl

This model is a fine-tuned version of [/home/sharyarmemon/GitHub/improved-guacamole/edited_models/gpt2_xl](https://huggingface.co//home/sharyarmemon/GitHub/improved-guacamole/edited_models/gpt2_xl) on the GLUE RTE dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5425
- Accuracy: 0.7148

## 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: 8
- eval_batch_size: 8
- seed: 3
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results



### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.11.0
- Datasets 2.0.0
- Tokenizers 0.11.6

{"language": ["en"], "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "model-index": [{"name": "gpt2xl", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE RTE", "type": "glue", "config": "rte", "split": "validation", "args": "rte"}, "metrics": [{"type": "accuracy", "value": 0.7148014440433214, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-classification generated_from_trainer en dataset:glue model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-classification #generated_from_trainer #en #dataset-glue #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# gpt2xl

This model is a fine-tuned version of /home/sharyarmemon/GitHub/improved-guacamole/edited_models/gpt2_xl on the GLUE RTE dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5425
- Accuracy: 0.7148

## 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: 8
- eval_batch_size: 8
- seed: 3
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results



### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.11.0
- Datasets 2.0.0
- Tokenizers 0.11.6

# gpt2xl

This model is a fine-tuned version of /home/sharyarmemon/GitHub/improved-guacamole/edited_models/gpt2_xl on the GLUE RTE dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5425
- Accuracy: 0.7148 ## 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: 8
- eval_batch_size: 8
- seed: 3
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0 ### Training results ### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.11.0
- Datasets 2.0.0
- Tokenizers 0.11.6
TAGS
#transformers #pytorch #gpt2 #text-classification #generated_from_trainer #en #dataset-glue #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # gpt2xl

This model is a fine-tuned version of /home/sharyarmemon/GitHub/improved-guacamole/edited_models/gpt2_xl on the GLUE RTE dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5425
- Accuracy: 0.7148 ## 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: 8
- eval_batch_size: 8
- seed: 3
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0 ### Training results ### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.11.0
- Datasets 2.0.0
- Tokenizers 0.11.6
TAGS
#transformers #pytorch #gpt2 #text-classification #generated_from_trainer #en #dataset-glue #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# gpt2xl

This model is a fine-tuned version of /home/sharyarmemon/GitHub/improved-guacamole/edited_models/gpt2_xl on the GLUE RTE dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5425
- Accuracy: 0.7148## 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: 8
- eval_batch_size: 8
- seed: 3
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0### Training results### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.11.0
- Datasets 2.0.0
- Tokenizers 0.11.6