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# mt5-based-turkish-informal2formal

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0604
- Rouge1: 0.7108
- Rouge2: 0.5420
- Rougel: 0.7018
- Rougelsum: 0.7044

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 3.5326        | 1.0   | 818  | 1.2692          | 0.7007 | 0.5296 | 0.6927 | 0.6963    |
| 1.4714        | 2.0   | 1636 | 1.0910          | 0.7078 | 0.5376 | 0.6996 | 0.7023    |
| 1.3484        | 3.0   | 2454 | 1.0604          | 0.7108 | 0.5420 | 0.7018 | 0.7044    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/mt5-small", "model-index": [{"name": "mt5-based-turkish-informal2formal", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer base_model:google/mt5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us