t5-small-finetuned-de-to-en-lr3e-4

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

• Loss: 1.9059
• Bleu: 11.9094
• Gen Len: 17.2257

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: 0.0003
• 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	1.8814	10.3468	17.2244
2.2309	2.0	544	1.8320	10.9949	17.2768
2.2309	3.0	816	1.8273	11.4299	17.2147
1.7515	4.0	1088	1.8321	11.5576	17.3191
1.7515	5.0	1360	1.8377	11.8255	17.2244
1.488	6.0	1632	1.8562	11.6741	17.2427
1.488	7.0	1904	1.8653	11.7363	17.2331
1.3301	8.0	2176	1.8938	12.0458	17.2044
1.3301	9.0	2448	1.9005	11.8676	17.2437
1.2241	10.0	2720	1.9059	11.9094	17.2257

Framework versions

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