t5-small-finetuned-de-to-en-swd

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

• Loss: 1.9422
• Bleu: 9.2293
• Gen Len: 17.3454

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	2.1658	3.8987	17.6419
2.6679	2.0	544	2.0659	6.4465	17.4758
2.6679	3.0	816	2.0210	7.3632	17.3708
2.4322	4.0	1088	1.9929	8.1559	17.3721
2.4322	5.0	1360	1.9744	8.6269	17.3518
2.3315	6.0	1632	1.9607	8.9017	17.3741
2.3315	7.0	1904	1.9515	9.1157	17.3484
2.2955	8.0	2176	1.9471	9.1308	17.3488
2.2955	9.0	2448	1.9432	9.2239	17.3414
2.2676	10.0	2720	1.9422	9.2293	17.3454

Framework versions

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