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# mt5-base-turkish-informal2formal

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8421
- Rouge1: 0.7278
- Rouge2: 0.5459
- Rougel: 0.7183
- Rougelsum: 0.7201

## 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: 0.0004
- train_batch_size: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 1.2492        | 1.0   | 1636 | 0.9616          | 0.7014 | 0.5122 | 0.6928 | 0.6947    |
| 0.8894        | 2.0   | 3272 | 0.8688          | 0.7177 | 0.5330 | 0.7083 | 0.7105    |
| 0.6133        | 3.0   | 4908 | 0.8421          | 0.7278 | 0.5459 | 0.7183 | 0.7201    |


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