t5-small-finetuned-de-en-batch8

This model is a fine-tuned version of t5-small on the wmt14 dataset. It achieves the following results on the evaluation set:

• Loss: 2.1282
• Bleu: 10.039
• Gen Len: 17.3839

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: 0.0002
• 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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	375	2.0912	9.9147	17.3084
1.5593	2.0	750	2.0858	9.9386	17.4299
1.4383	3.0	1125	2.1137	9.9804	17.34
1.3562	4.0	1500	2.1198	9.9685	17.367
1.3562	5.0	1875	2.1282	10.039	17.3839

Framework versions

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