metadata
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-rottentomatoes
results: []
clasificador-rottentomatoes
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: 1.0103
- Accuracy: 0.4783
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: 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 |
|---|---|---|---|---|
| 0.6937 | 1.0 | 853 | 0.8311 | 0.0 |
| 0.6578 | 2.0 | 1706 | 0.7352 | 0.6190 |
| 0.5328 | 3.0 | 2559 | 1.0103 | 0.4783 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2