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medical_translation_v.1 – AI Model by Tippawan | AlphaNeural AI
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Tippawan
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medical_translation_v.1
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transformers
tensorboard
safetensors
m2m_100
text2text-generation
generated_from_trainer
facebook/nllb-200-distilled-600M
finetune
cc-by-nc-4.0
endpoints_compatible
us
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Model card
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fb-nllb-2d6m-Bilibili_MIX_1350K-en-th-70k-clean-punct
This model is a fine-tuned version of
facebook/nllb-200-distilled-600M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2449
Bleu: 41.9443
Gen Len: 31.5709
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
1.129
1.0
144
1.2976
40.8925
31.6055
1.1063
2.0
288
1.2713
40.2012
31.346
0.9238
3.0
432
1.2449
41.9443
31.5709
Framework versions
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
