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mBART_slang_to_standard_4 – AI Model by eunyounglee | AlphaNeural AI
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mBART_slang_to_standard_4
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transformers
pytorch
tensorboard
mbart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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mBART_slang_to_standard_4
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: 1.9058
Bleu: 60.5005
Gen Len: 47.7251
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: 4
eval_batch_size: 4
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
No log
1.0
106
2.6704
60.4144
51.1659
No log
2.0
212
2.0665
60.2528
47.1848
No log
3.0
318
1.9058
60.5005
47.7251
Framework versions
Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1
