deep_model_09_clasificador-news-2
This model is a fine-tuned version of albert-base-v2 on the ag_news dataset. It achieves the following results on the evaluation set:
- Loss: 0.4530
- Accuracy: 0.9033
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 |
|---|---|---|---|---|
| 0.6332 | 1.0 | 715 | 0.4676 | 0.8812 |
| 0.5148 | 2.0 | 1430 | 0.4496 | 0.9006 |
| 0.3638 | 3.0 | 2145 | 0.4530 | 0.9033 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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