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# opt-350m-wikitext2

This model is a fine-tuned version of facebook/opt-350m on the wikitext wikitext-2-raw-v1 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.8211
- eval_accuracy: 0.4601
- eval_runtime: 17.895
- eval_samples_per_second: 13.579
- eval_steps_per_second: 6.818
- step: 0

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.0+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "datasets": ["wikitext"], "model-index": [{"name": "opt-350m-wikitext2", "results": []}]}
transformers pytorch tensorboard opt text-generation generated_from_trainer dataset:wikitext autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #opt #text-generation #generated_from_trainer #dataset-wikitext #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 




# opt-350m-wikitext2

This model is a fine-tuned version of facebook/opt-350m on the wikitext wikitext-2-raw-v1 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.8211
- eval_accuracy: 0.4601
- eval_runtime: 17.895
- eval_samples_per_second: 13.579
- eval_steps_per_second: 6.818
- step: 0

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.0+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

# opt-350m-wikitext2

This model is a fine-tuned version of facebook/opt-350m on the wikitext wikitext-2-raw-v1 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.8211
- eval_accuracy: 0.4601
- eval_runtime: 17.895
- eval_samples_per_second: 13.579
- eval_steps_per_second: 6.818
- step: 0 ## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0 ### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.0+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #opt #text-generation #generated_from_trainer #dataset-wikitext #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 # opt-350m-wikitext2

This model is a fine-tuned version of facebook/opt-350m on the wikitext wikitext-2-raw-v1 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.8211
- eval_accuracy: 0.4601
- eval_runtime: 17.895
- eval_samples_per_second: 13.579
- eval_steps_per_second: 6.818
- step: 0 ## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0 ### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.0+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #opt #text-generation #generated_from_trainer #dataset-wikitext #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
# opt-350m-wikitext2

This model is a fine-tuned version of facebook/opt-350m on the wikitext wikitext-2-raw-v1 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.8211
- eval_accuracy: 0.4601
- eval_runtime: 17.895
- eval_samples_per_second: 13.579
- eval_steps_per_second: 6.818
- step: 0## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.0+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2