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pegasus-translation – AI Model by edgilr | AlphaNeural AI
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edgilr
/
pegasus-translation
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transformers
safetensors
pegasus
text2text-generation
simplification
generated_from_trainer
google/pegasus-xsum
finetune
endpoints_compatible
us
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pegasus-translation
This model is a fine-tuned version of
google/pegasus-xsum
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.7812
Bleu: 8.2441
Gen Len: 42.8836
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: 5.6e-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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
146
2.9577
7.2732
42.4658
No log
2.0
292
2.7812
8.2441
42.8836
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
