metadata
library_name: transformers
base_model: mrm8488/electricidad-base-discriminator
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-reviews
results: []
clasificador-reviews
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4164
- Accuracy: 0.936
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 | 125 | 0.4736 | 0.829 |
| No log | 2.0 | 250 | 0.5006 | 0.874 |
| No log | 3.0 | 375 | 0.3260 | 0.924 |
| 0.2722 | 4.0 | 500 | 0.6942 | 0.882 |
| 0.2722 | 5.0 | 625 | 0.5629 | 0.914 |
| 0.2722 | 6.0 | 750 | 0.4100 | 0.937 |
| 0.2722 | 7.0 | 875 | 0.4178 | 0.935 |
| 0.0231 | 8.0 | 1000 | 0.3816 | 0.936 |
| 0.0231 | 9.0 | 1125 | 0.3811 | 0.939 |
| 0.0231 | 10.0 | 1250 | 0.4164 | 0.936 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0