T5-translation

This model is a fine-tuned version of Mprimus/T5-translation on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2075
• Rouge1: 27.4428
• Rouge2: 16.9977
• Rougel: 27.161
• Rougelsum: 27.1588
• Bleu: 0.2188
• Gen Len: 14.5482

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: 80
• eval_batch_size: 80
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bleu	Gen Len
0.2536	1.0	9727	0.2075	27.4428	16.9977	27.161	27.1588	0.2188	14.5482

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.1+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0