t5-small-finetuned-de-to-en

This model is a fine-tuned version of t5-small on the wmt16 dataset. It achieves the following results on the evaluation set:

• Loss: 1.9417
• Bleu: 9.2166
• Gen Len: 17.3404

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	272	2.1660	3.8515	17.6289
2.6678	2.0	544	2.0656	6.4422	17.4842
2.6678	3.0	816	2.0203	7.4348	17.3741
2.4316	4.0	1088	1.9926	8.0914	17.3658
2.4316	5.0	1360	1.9739	8.6535	17.3461
2.3307	6.0	1632	1.9603	8.8757	17.3768
2.3307	7.0	1904	1.9509	9.0744	17.3511
2.2945	8.0	2176	1.9466	9.1111	17.3418
2.2945	9.0	2448	1.9427	9.1969	17.3351
2.2666	10.0	2720	1.9417	9.2166	17.3404

Framework versions

• Transformers 4.12.5
• Pytorch 1.10.0+cu111
• Datasets 1.16.1
• Tokenizers 0.10.3