clasificador-muchocine
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: 1.3601
- Accuracy: 0.4826
Model description
Predict of cinema reviews.
Intended uses & limitations
Trained as part of machine learning module at university.
Training and evaluation data
Small project.
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 388 | 1.3546 | 0.4284 |
| 1.3676 | 2.0 | 776 | 1.2768 | 0.4723 |
| 0.9726 | 3.0 | 1164 | 1.3601 | 0.4826 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2