metadata
library_name: transformers
base_model: mrm8488/electricidad-base-discriminator
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-reviews-imdb
results: []
clasificador-reviews-imdb
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: 1.6197
- Accuracy: 0.575
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 25 | 0.6935 | 0.52 |
| No log | 2.0 | 50 | 0.6898 | 0.52 |
| No log | 3.0 | 75 | 0.6851 | 0.555 |
| No log | 4.0 | 100 | 0.7689 | 0.575 |
| No log | 5.0 | 125 | 0.9087 | 0.545 |
| No log | 6.0 | 150 | 1.0924 | 0.56 |
| No log | 7.0 | 175 | 1.2686 | 0.575 |
| No log | 8.0 | 200 | 1.4184 | 0.585 |
| No log | 9.0 | 225 | 1.5848 | 0.575 |
| No log | 10.0 | 250 | 1.6197 | 0.575 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0