metadata
license: mit
base_model: PORTULAN/albertina-100m-portuguese-ptpt-encoder
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: LVI-dsl_tl-albertina-100m-portuguese-ptpt-encoder
results: []
LVI-dsl_tl-albertina-100m-portuguese-ptpt-encoder
This model is a fine-tuned version of PORTULAN/albertina-100m-portuguese-ptpt-encoder on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0750
- Accuracy: 0.6075
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: 3e-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: 300
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 217 | 0.8088 | 0.6539 |
| No log | 2.0 | 434 | 0.7666 | 0.6660 |
| 0.7597 | 3.0 | 651 | 0.9131 | 0.6509 |
| 0.7597 | 4.0 | 868 | 0.9328 | 0.6206 |
| 0.5046 | 5.0 | 1085 | 1.0750 | 0.6075 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2