COLABDATA
This model is a fine-tuned version of 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
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Model tree for andituebingen/t5-MT-de-en
Base model
google-t5/t5-smallDataset used to train andituebingen/t5-MT-de-en
Evaluation results
- Bleu on Helsinki-NLP/opus-100 de-enself-reported30.599