---
license: cc-by-4.0
library_name: peft
tags:
- generated_from_trainer
base_model: EMBEDDIA/crosloengual-bert
metrics:
- accuracy
- f1
model-index:
- name: lora_fine_tuned_cb
  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. -->

# lora_fine_tuned_cb

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: 3.7255
- Accuracy: 0.5
- F1: 0.4690

## 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     |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
| 0.7           | 3.5714  | 50   | 1.2589          | 0.4091   | 0.3098 |
| 0.2825        | 7.1429  | 100  | 2.2071          | 0.4091   | 0.3573 |
| 0.0229        | 10.7143 | 150  | 2.0270          | 0.6364   | 0.5916 |
| 0.0153        | 14.2857 | 200  | 2.2568          | 0.5455   | 0.5181 |
| 0.0017        | 17.8571 | 250  | 3.8454          | 0.4091   | 0.3573 |
| 0.0001        | 21.4286 | 300  | 3.8920          | 0.4091   | 0.3573 |
| 0.0           | 25.0    | 350  | 3.7418          | 0.5      | 0.4690 |
| 0.0           | 28.5714 | 400  | 3.7255          | 0.5      | 0.4690 |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.19.1