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# ro-offense-freematch

This model is a fine-tuned version of [readerbench/RoBERT-base](https://huggingface.co/readerbench/RoBERT-base) 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 4.29.2
- TensorFlow 2.12.0
- Tokenizers 0.13.3

{"tags": ["generated_from_keras_callback"], "model-index": [{"name": "ro-offense-freematch", "results": []}]}
transformers tf bert feature-extraction generated_from_keras_callback endpoints_compatible has_space region:us
TAGS
#transformers #tf #bert #feature-extraction #generated_from_keras_callback #endpoints_compatible #has_space #region-us 




# ro-offense-freematch

This model is a fine-tuned version of readerbench/RoBERT-base 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 4.29.2
- TensorFlow 2.12.0
- Tokenizers 0.13.3

# ro-offense-freematch

This model is a fine-tuned version of readerbench/RoBERT-base 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 4.29.2
- TensorFlow 2.12.0
- Tokenizers 0.13.3
TAGS
#transformers #tf #bert #feature-extraction #generated_from_keras_callback #endpoints_compatible #has_space #region-us 
 # ro-offense-freematch

This model is a fine-tuned version of readerbench/RoBERT-base 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 4.29.2
- TensorFlow 2.12.0
- Tokenizers 0.13.3