metadata
library_name: transformers
base_model: mrm8488/electricidad-base-discriminator
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: rotten-tomatoes
results: []
rotten-tomatoes
This model is a fine-tuned version of 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