metadata
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distillbert-base-spanish-uncased-finetuned-suicidios
results: []
distillbert-base-spanish-uncased-finetuned-suicidios
This model is a fine-tuned version of CenIA/distillbert-base-spanish-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3079
- Accuracy: 0.9461
- F1: 0.9461
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3549 | 1.0 | 9618 | 0.2688 | 0.9426 | 0.9426 |
| 0.1797 | 2.0 | 19236 | 0.3079 | 0.9461 | 0.9461 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1