metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test-mac-411
results: []
test-mac-411
This model is a fine-tuned version of dccuchile/distilbert-base-spanish-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0609
- Accuracy: 0.9878
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 47 | 0.9904 | 0.6829 |
| No log | 2.0 | 94 | 0.6066 | 0.8537 |
| No log | 3.0 | 141 | 0.3387 | 0.9390 |
| No log | 4.0 | 188 | 0.1808 | 0.9878 |
| No log | 5.0 | 235 | 0.1252 | 0.9878 |
| No log | 6.0 | 282 | 0.1027 | 0.9878 |
| No log | 7.0 | 329 | 0.0746 | 0.9878 |
| No log | 8.0 | 376 | 0.0735 | 0.9878 |
| No log | 9.0 | 423 | 0.0611 | 0.9878 |
| No log | 10.0 | 470 | 0.0609 | 0.9878 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.13.3