---
license: cc-by-4.0
library_name: peft
tags:
- generated_from_trainer
base_model: EMBEDDIA/crosloengual-bert
metrics:
- accuracy
- f1
model-index:
- name: loha_fine_tuned_copa_croslo
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# loha_fine_tuned_copa_croslo

This model is a fine-tuned version of [EMBEDDIA/crosloengual-bert](https://huggingface.co/EMBEDDIA/crosloengual-bert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3989
- Accuracy: 0.65
- F1: 0.6507

## 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: 0.003
- 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
- training_steps: 400

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.7116        | 1.0   | 50   | 0.6663          | 0.57     | 0.5704 |
| 0.657         | 2.0   | 100  | 0.6277          | 0.62     | 0.62   |
| 0.49          | 3.0   | 150  | 0.6608          | 0.67     | 0.6708 |
| 0.3144        | 4.0   | 200  | 0.7786          | 0.68     | 0.6805 |
| 0.099         | 5.0   | 250  | 1.1639          | 0.63     | 0.6303 |
| 0.0377        | 6.0   | 300  | 1.2560          | 0.65     | 0.6496 |
| 0.0216        | 7.0   | 350  | 1.3663          | 0.65     | 0.6503 |
| 0.0107        | 8.0   | 400  | 1.3989          | 0.65     | 0.6507 |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1