---
library_name: transformers
license: other
base_model: boun-tabi-LMG/TURNA
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: Turna
  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. -->

# Turna

This model is a fine-tuned version of [boun-tabi-LMG/TURNA](https://huggingface.co/boun-tabi-LMG/TURNA) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9589

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| 0.0           | 1.0   | 230  | nan             | 0.0       | 0.0    | 0.0 | 0.9615   |
| 0.0           | 2.0   | 460  | nan             | 0.0       | 0.0    | 0.0 | 0.9615   |
| 0.0           | 3.0   | 690  | nan             | 0.0       | 0.0    | 0.0 | 0.9615   |
| 0.0           | 4.0   | 920  | nan             | 0.0       | 0.0    | 0.0 | 0.9615   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3