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mBART_translator_json_1 – AI Model by eunyounglee | AlphaNeural AI
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mBART_translator_json_1
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transformers
pytorch
tensorboard
mbart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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mBART_translator_json_1
This model is a fine-tuned version of
facebook/mbart-large-50
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2829
Bleu: 85.309
Gen Len: 38.6548
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
1.4947
1.0
1912
0.5341
73.427
40.6904
0.8362
2.0
3824
0.3411
83.776
39.1381
0.6387
3.0
5736
0.2829
85.309
38.6548
Framework versions
Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.12.1
