---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
datasets:
- setimes
metrics:
- bleu
model-index:
- name: t5-base-finetuned-en-to-tr
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: setimes
      type: setimes
      config: en-tr
      split: train
      args: en-tr
    metrics:
    - name: Bleu
      type: bleu
      value: 13.0464
---

<!-- 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-finetuned-en-to-tr

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the setimes dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7522
- Bleu: 13.0464
- Gen Len: 17.5633

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 7.6012        | 1.0   | 12851  | 7.4685          | 2.2376  | 18.1521 |
| 7.0962        | 2.0   | 25702  | 6.8819          | 4.4861  | 18.0448 |
| 6.6712        | 3.0   | 38553  | 6.4648          | 6.1268  | 18.014  |
| 6.3473        | 4.0   | 51404  | 6.1421          | 7.6084  | 17.9027 |
| 6.1161        | 5.0   | 64255  | 5.8969          | 8.4021  | 17.7949 |
| 5.9178        | 6.0   | 77106  | 5.6935          | 9.37    | 17.8392 |
| 5.7331        | 7.0   | 89957  | 5.5226          | 9.8004  | 17.8893 |
| 5.5981        | 8.0   | 102808 | 5.3886          | 10.3562 | 17.8955 |
| 5.4867        | 9.0   | 115659 | 5.2807          | 10.876  | 17.7434 |
| 5.3722        | 10.0  | 128510 | 5.1751          | 11.1864 | 17.7313 |
| 5.2739        | 11.0  | 141361 | 5.0924          | 11.6223 | 17.6476 |
| 5.2339        | 12.0  | 154212 | 5.0033          | 11.8264 | 17.6996 |
| 5.1754        | 13.0  | 167063 | 4.9500          | 12.1915 | 17.6447 |
| 5.0981        | 14.0  | 179914 | 4.8958          | 12.4578 | 17.5782 |
| 5.0478        | 15.0  | 192765 | 4.8458          | 12.6398 | 17.5753 |
| 4.9778        | 16.0  | 205616 | 4.8142          | 12.6034 | 17.5681 |
| 4.9689        | 17.0  | 218467 | 4.7840          | 12.807  | 17.5816 |
| 4.9368        | 18.0  | 231318 | 4.7680          | 13.038  | 17.5614 |
| 4.9829        | 19.0  | 244169 | 4.7572          | 13.0403 | 17.5407 |
| 4.9434        | 20.0  | 257020 | 4.7522          | 13.0464 | 17.5633 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.2.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1