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mbart-large-50-finetuned-en-to-te – AI Model by anjankumar | AlphaNeural AI
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anjankumar
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mbart-large-50-finetuned-en-to-te
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transformers
pytorch
tensorboard
mbart
text2text-generation
generated_from_trainer
kde4
model-index
endpoints_compatible
us
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mbart-large-50-finetuned-en-to-te
This model is a fine-tuned version of
facebook/mbart-large-50
on the kde4 dataset. It achieves the following results on the evaluation set:
Loss: 13.8521
Bleu: 0.7152
Gen Len: 20.5
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
7
13.8521
0.7152
20.5
Framework versions
Transformers 4.20.0
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
