
# opt-small-sw

This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the SwitchBoard dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7166
- Accuracy: 0.4663

## Model description

More details soon.

## Intended uses & limitations

More details soon.

## Training and evaluation data

More details soon.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 7
- eval_batch_size: 7
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0

### Training results



### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.0.dev0

{"language": ["en"], "metrics": ["accuracy"], "widget": [{"text": "A:The rest of it is just like wild flowers\nB:Wild flowers.\nA:and in the summertime we get the prettiest yellow flowers.\nB:Uh-huh.\nA:They're about, oh, I guess, a third the size of your, palm of your hand\nB:", "example_title": "SW Example 1"}], "model-index": [{"name": "opt-small-sw", "results": []}]}
transformers pytorch opt text-generation en autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #opt #text-generation #en #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# opt-small-sw

This model is a fine-tuned version of facebook/opt-125m on the SwitchBoard dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7166
- Accuracy: 0.4663

## Model description

More details soon.

## Intended uses & limitations

More details soon.

## Training and evaluation data

More details soon.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 7
- eval_batch_size: 7
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0

### Training results



### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.0.dev0

# opt-small-sw

This model is a fine-tuned version of facebook/opt-125m on the SwitchBoard dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7166
- Accuracy: 0.4663 ## Model description

More details soon. ## Intended uses & limitations

More details soon. ## Training and evaluation data

More details soon. ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 7
- eval_batch_size: 7
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0 ### Training results ### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.0.dev0
TAGS
#transformers #pytorch #opt #text-generation #en #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # opt-small-sw

This model is a fine-tuned version of facebook/opt-125m on the SwitchBoard dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7166
- Accuracy: 0.4663 ## Model description

More details soon. ## Intended uses & limitations

More details soon. ## Training and evaluation data

More details soon. ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 7
- eval_batch_size: 7
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0 ### Training results ### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.0.dev0