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

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: 0.9889

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 16
- 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3603        | 1.0   | 2671  | 1.1303          |
| 0.9344        | 2.0   | 5342  | 0.9793          |
| 0.6756        | 3.0   | 8013  | 0.9169          |
| 0.4619        | 4.0   | 10684 | 0.9269          |
| 0.3474        | 5.0   | 13355 | 0.9889          |


### Framework versions

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