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bart-base-vn-ehealth-tokenizer – AI Model by GuysTrans | AlphaNeural AI
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bart-base-vn-ehealth-tokenizer
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transformers
pytorch
mbart
text2text-generation
generated_from_trainer
vinai/bartpho-syllable
finetune
endpoints_compatible
us
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bart-base-vn-ehealth-tokenizer
This model is a fine-tuned version of
vinai/bartpho-syllable
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5573
Rouge1: 19.5871
Rouge2: 9.8761
Rougel: 16.1785
Rougelsum: 18.0628
Bleu-1: 0.0074
Bleu-2: 0.0054
Bleu-3: 0.0039
Bleu-4: 0.0028
Gen Len: 20.0
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Bleu-1
Bleu-2
Bleu-3
Bleu-4
Gen Len
1.6631
1.0
17418
1.5573
19.5871
9.8761
16.1785
18.0628
0.0074
0.0054
0.0039
0.0028
20.0
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
