---
library_name: transformers
base_model: mrm8488/electricidad-base-discriminator
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: rotten-tomatoes
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rotten-tomatoes

This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6724
- Accuracy: 0.7336

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

The dataset used for the training and development of this model is available in cornell-movie-review-data/rotten_tomatoes

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 134  | 0.5668          | 0.7008   |
| No log        | 2.0   | 268  | 0.5915          | 0.7214   |
| No log        | 3.0   | 402  | 0.6724          | 0.7336   |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1