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# clasificador-rotten-tomatoes

This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the rotten_tomatoes dataset.

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

{"tags": ["classification", "generated_from_trainer"], "datasets": ["rotten_tomatoes"], "model-index": [{"name": "clasificador-rotten-tomatoes", "results": []}]}
transformers pytorch electra text-classification classification generated_from_trainer dataset:rotten_tomatoes autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #electra #text-classification #classification #generated_from_trainer #dataset-rotten_tomatoes #autotrain_compatible #endpoints_compatible #region-us 




# clasificador-rotten-tomatoes

This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the rotten_tomatoes dataset.

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

# clasificador-rotten-tomatoes

This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the rotten_tomatoes dataset. ## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #electra #text-classification #classification #generated_from_trainer #dataset-rotten_tomatoes #autotrain_compatible #endpoints_compatible #region-us 
 # clasificador-rotten-tomatoes

This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the rotten_tomatoes dataset. ## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #electra #text-classification #classification #generated_from_trainer #dataset-rotten_tomatoes #autotrain_compatible #endpoints_compatible #region-us 
# clasificador-rotten-tomatoes

This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the rotten_tomatoes dataset.## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2