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# semeval-unsup-promcse-bert-base-uncased-semeval2015-restaurants

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:


## 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:
- optimizer: None
- training_precision: float32

### Training results



### Framework versions

- Transformers 4.28.1
- TensorFlow 2.12.0
- Tokenizers 0.13.3

{"tags": ["generated_from_keras_callback"], "model-index": [{"name": "semeval-unsup-promcse-bert-base-uncased-semeval2015-restaurants", "results": []}]}
transformers pytorch tf jax bert feature-extraction generated_from_keras_callback endpoints_compatible region:us
TAGS
#transformers #pytorch #tf #jax #bert #feature-extraction #generated_from_keras_callback #endpoints_compatible #region-us 




# semeval-unsup-promcse-bert-base-uncased-semeval2015-restaurants

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:


## 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:
- optimizer: None
- training_precision: float32

### Training results



### Framework versions

- Transformers 4.28.1
- TensorFlow 2.12.0
- Tokenizers 0.13.3

# semeval-unsup-promcse-bert-base-uncased-semeval2015-restaurants

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set: ## 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:
- optimizer: None
- training_precision: float32 ### Training results ### Framework versions

- Transformers 4.28.1
- TensorFlow 2.12.0
- Tokenizers 0.13.3
TAGS
#transformers #pytorch #tf #jax #bert #feature-extraction #generated_from_keras_callback #endpoints_compatible #region-us 
 # semeval-unsup-promcse-bert-base-uncased-semeval2015-restaurants

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set: ## 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:
- optimizer: None
- training_precision: float32 ### Training results ### Framework versions

- Transformers 4.28.1
- TensorFlow 2.12.0
- Tokenizers 0.13.3