---
library_name: peft
license: mit
base_model: Turkish-NLP/t5-efficient-base-turkish
tags:
- generated_from_trainer
model-index:
- name: t5-base-turkish-reincames-hukuk-qlora-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. -->

# t5-base-turkish-reincames-hukuk-qlora-v2

This model is a fine-tuned version of [Turkish-NLP/t5-efficient-base-turkish](https://huggingface.co/Turkish-NLP/t5-efficient-base-turkish) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1081

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.9193        | 1.0   | 1670  | 1.5207          |
| 1.6986        | 2.0   | 3340  | 1.3809          |
| 1.5478        | 3.0   | 5010  | 1.2990          |
| 1.4628        | 4.0   | 6680  | 1.2411          |
| 1.3844        | 5.0   | 8350  | 1.1991          |
| 1.3213        | 6.0   | 10020 | 1.1638          |
| 1.3005        | 7.0   | 11690 | 1.1360          |
| 1.3043        | 8.0   | 13360 | 1.1238          |
| 1.2529        | 9.0   | 15030 | 1.1141          |
| 1.2228        | 10.0  | 16700 | 1.1081          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0