metadata
tags:
- generated_from_trainer
base_model: dccuchile/bert-base-spanish-wwm-uncased
metrics:
- accuracy
model-index:
- name: classificator_names
results: []
classificator_names
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0770
- Accuracy: 0.9867
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: 12345
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 88 | 0.0798 | 0.9867 |
No log | 2.0 | 176 | 0.0745 | 0.9867 |
No log | 3.0 | 264 | 0.0770 | 0.9867 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cpu
- Datasets 2.19.2
- Tokenizers 0.19.1