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mt5-zh2en – AI Model by Takq | AlphaNeural AI
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Takq
/
mt5-zh2en
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transformers
tensorboard
safetensors
mt5
text2text-generation
generated_from_trainer
Takq/mt5-zh2en
finetune
apache-2.0
endpoints_compatible
us
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mt5-zh2en
This model is a fine-tuned version of
Takq/mt5-zh2en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0037
Bleu: 9.0726
Gen Len: 18.1282
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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
2.3589
1.0
258072
2.0607
8.7641
18.1171
2.2457
2.0
516144
2.0037
9.0726
18.1282
Framework versions
Transformers 4.36.2
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.15.1
