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vi-correction-t5 – AI Model by 52101007-HuynhQuocTruong | AlphaNeural AI
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52101007-HuynhQuocTruong
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vi-correction-t5
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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vi-correction-t5
This model is a fine-tuned version of
t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1465
Sacrebleu: 0.4788
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Sacrebleu
No log
0.992
93
0.1898
0.1884
No log
1.9947
187
0.1586
0.4429
No log
2.9973
281
0.1491
0.4715
No log
3.968
372
0.1465
0.4788
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
