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---
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 |