testing_mT5-hausa-to-Chinese – AI Model by Kumshe | AlphaNeural AI

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Kumshe/
testing_mT5-hausa-to-Chinese

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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testing222_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