metadata
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mi-clase-antes-clase
results: []
mi-clase-antes-clase
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9634
- Accuracy: 0.54
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6273 | 1.0 | 38 | 1.5415 | 0.29 |
| 1.1773 | 2.0 | 76 | 1.2650 | 0.41 |
| 0.8388 | 3.0 | 114 | 1.2112 | 0.48 |
| 0.6961 | 4.0 | 152 | 1.1264 | 0.53 |
| 0.4043 | 5.0 | 190 | 1.4790 | 0.48 |
| 0.2038 | 6.0 | 228 | 1.5849 | 0.51 |
| 0.1678 | 7.0 | 266 | 1.6482 | 0.54 |
| 0.0467 | 8.0 | 304 | 1.9042 | 0.51 |
| 0.0127 | 9.0 | 342 | 2.0245 | 0.54 |
| 0.0098 | 10.0 | 380 | 1.9634 | 0.54 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.2.2
- Datasets 2.20.0
- Tokenizers 0.19.1