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# opt-350m-finetuned-cola

This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the glue dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5491
- eval_matthews_correlation: 0.4348
- eval_runtime: 47.8666
- eval_samples_per_second: 21.79
- eval_steps_per_second: 1.379
- epoch: 2.0
- step: 1070

## 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

{"license": "other", "tags": ["generated_from_trainer"], "datasets": ["glue"], "base_model": "facebook/opt-350m", "model-index": [{"name": "opt-350m-finetuned-cola", "results": []}]}
transformers pytorch opt text-classification generated_from_trainer dataset:glue base_model:facebook/opt-350m license:other autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #opt #text-classification #generated_from_trainer #dataset-glue #base_model-facebook/opt-350m #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# opt-350m-finetuned-cola

This model is a fine-tuned version of facebook/opt-350m on the glue dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5491
- eval_matthews_correlation: 0.4348
- eval_runtime: 47.8666
- eval_samples_per_second: 21.79
- eval_steps_per_second: 1.379
- epoch: 2.0
- step: 1070

## 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

# opt-350m-finetuned-cola

This model is a fine-tuned version of facebook/opt-350m on the glue dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5491
- eval_matthews_correlation: 0.4348
- eval_runtime: 47.8666
- eval_samples_per_second: 21.79
- eval_steps_per_second: 1.379
- epoch: 2.0
- step: 1070 ## 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 #opt #text-classification #generated_from_trainer #dataset-glue #base_model-facebook/opt-350m #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # opt-350m-finetuned-cola

This model is a fine-tuned version of facebook/opt-350m on the glue dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5491
- eval_matthews_correlation: 0.4348
- eval_runtime: 47.8666
- eval_samples_per_second: 21.79
- eval_steps_per_second: 1.379
- epoch: 2.0
- step: 1070 ## 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 #opt #text-classification #generated_from_trainer #dataset-glue #base_model-facebook/opt-350m #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# opt-350m-finetuned-cola

This model is a fine-tuned version of facebook/opt-350m on the glue dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5491
- eval_matthews_correlation: 0.4348
- eval_runtime: 47.8666
- eval_samples_per_second: 21.79
- eval_steps_per_second: 1.379
- epoch: 2.0
- step: 1070## 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