---
language:
- de
- en
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
datasets:
- Helsinki-NLP/opus-100
metrics:
- bleu
model-index:
- name: COLABDATA
  results:
  - task:
      name: Translation
      type: translation
    dataset:
      name: Helsinki-NLP/opus-100 de-en
      type: Helsinki-NLP/opus-100
      args: de-en
    metrics:
    - name: Bleu
      type: bleu
      value: 30.5988
---

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# COLABDATA

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the Helsinki-NLP/opus-100 de-en dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7967
- Bleu: 30.5988
- Gen Len: 20.0945

## 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: 5e-05
- 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: 3.0

### Training results



### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1