metadata
license: mit
base_model: PORTULAN/albertina-100m-portuguese-ptpt-encoder
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: LVI_albertina-100m-portuguese-ptpt-encoder
results: []
LVI_albertina-100m-portuguese-ptpt-encoder
This model is a fine-tuned version of PORTULAN/albertina-100m-portuguese-ptpt-encoder on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6932
- Accuracy: 0.5
- F1: 0.0
- Precision: 0.0
- Recall: 0.0
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: 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 | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.5678 | 1.0 | 3217 | 0.6316 | 0.6653 | 0.5619 | 0.8128 | 0.4294 |
| 0.6042 | 2.0 | 6434 | 0.6911 | 0.5 | 0.0 | 0.0 | 0.0 |
| 0.6946 | 3.0 | 9651 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 |
| 0.694 | 4.0 | 12868 | 0.6932 | 0.5 | 0.6667 | 0.5 | 1.0 |
| 0.6942 | 5.0 | 16085 | 0.6933 | 0.5 | 0.6667 | 0.5 | 1.0 |
| 0.6936 | 6.0 | 19302 | 0.6937 | 0.5 | 0.6667 | 0.5 | 1.0 |
| 0.6937 | 7.0 | 22519 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2