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plbart-finetuned-nora – AI Model by yassmine | AlphaNeural AI
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plbart-finetuned-nora
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transformers
pytorch
tensorboard
plbart
text2text-generation
generated_from_trainer
endpoints_compatible
us
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plbart-finetuned-nora
This model is a fine-tuned version of
uclanlp/plbart-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6900
Bleu: 0.0000
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
1.1919
1.0
918
0.7175
0.0000
0.5715
2.0
1836
0.6900
0.0000
Framework versions
Transformers 4.27.4
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2
