---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# LVI-dsl_tl-albertina-100m-portuguese-ptpt-encoder

This model is a fine-tuned version of [PORTULAN/albertina-100m-portuguese-ptpt-encoder](https://huggingface.co/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