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pegasus-translation-en-ro – AI Model by ancebuc | AlphaNeural AI
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pegasus-translation-en-ro
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transformers
tensorboard
safetensors
pegasus
text2text-generation
translation
generated_from_trainer
google/pegasus-xsum
finetune
endpoints_compatible
us
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pegasus-translation-en-ro
This model is a fine-tuned version of
google/pegasus-xsum
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.3972
Bleu: 8.4567
Gen Len: 32.314
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
3.876
1.0
1250
3.5435
8.0545
34.4125
3.4235
2.0
2500
3.3972
8.4567
32.314
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
