t5-small-finetuned-de-to-en-fp16

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

• Loss: 1.9416
• Bleu: 9.2226
• Gen Len: 17.3311

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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	272	2.1671	3.8489	17.6382
2.6715	2.0	544	2.0660	6.4354	17.4905
2.6715	3.0	816	2.0206	7.4092	17.3708
2.4325	4.0	1088	1.9926	8.1453	17.3685
2.4325	5.0	1360	1.9739	8.6739	17.3521
2.3312	6.0	1632	1.9602	8.8808	17.3681
2.3312	7.0	1904	1.9509	9.1173	17.3491
2.2946	8.0	2176	1.9465	9.1504	17.3414
2.2946	9.0	2448	1.9426	9.2372	17.3398
2.2665	10.0	2720	1.9416	9.2226	17.3311

Framework versions

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