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ViNormT5 – AI Model by meoo225 | AlphaNeural AI
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meoo225
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ViNormT5
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
VietAI/vit5-base
finetune
mit
text-generation-inference
endpoints_compatible
us
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ViNormT5
This model is a fine-tuned version of
VietAI/vit5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2388
Bleu Score: 75.3961
Gen Len: 13.1552
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: 8
eval_batch_size: 8
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 Score
Gen Len
0.4258
1.0
1047
0.2371
73.7243
13.2143
0.1579
2.0
2094
0.2160
74.6508
13.1076
0.0655
3.0
3141
0.2388
75.3961
13.1552
Framework versions
Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
