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VietAI-NLP-ITN – AI Model by datnth1709 | AlphaNeural AI
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VietAI-NLP-ITN
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transformers
pytorch
encoder-decoder
text2text-generation
translation
generated_from_trainer
endpoints_compatible
us
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VietAI-NLP-ITN
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4378
Bleu: 81.8571
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: 5e-05
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
lr_scheduler_warmup_ratio: 0.2
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
0.6529
1.0
31250
0.5660
78.7315
0.5125
2.0
62500
0.4770
81.3979
0.4798
3.0
93750
0.4554
81.6720
0.4568
4.0
125000
0.4435
81.7753
0.4387
5.0
156250
0.4378
81.8571
Framework versions
Transformers 4.20.1
Pytorch 1.10.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
