testing22_mt5-ha2zh-translation

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 15.2208
• Bleu: 0.0
• Ter: 112.1622
• Chrf: 0.0592
• Rougel: 0.0
• Meteor: 0.0
• Bertscore F1: 0.4861

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Ter	Chrf	Rougel	Meteor	Bertscore F1
24.1484	1.0	63	17.4027	0.0	108.7838	0.0592	0.0	0.0	0.4856
24.1484	2.0	126	15.8128	0.0	109.7973	0.0592	0.0	0.0	0.4859
24.1484	3.0	189	15.2208	0.0	112.1622	0.0592	0.0	0.0	0.4861

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0