---
library_name: transformers
license: mit
base_model: shehzadkhalid04/balochi-latani
tags:
- generated_from_trainer
model-index:
- name: en-bal-latin-v2
  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. -->

# en-bal-latin-v2

This model is a fine-tuned version of [shehzadkhalid04/balochi-latani](https://huggingface.co/shehzadkhalid04/balochi-latani) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1554

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3135        | 1.0   | 899  | 0.1732          |
| 0.1672        | 2.0   | 1798 | 0.1649          |
| 0.1384        | 3.0   | 2697 | 0.1590          |
| 0.1192        | 4.0   | 3596 | 0.1560          |
| 0.1058        | 5.0   | 4495 | 0.1554          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2