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pegasus-base-qag-bg-finetuned-grammar-bg – AI Model by popaqy | AlphaNeural AI
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pegasus-base-qag-bg-finetuned-grammar-bg
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transformers
pytorch
tensorboard
pegasus
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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pegasus-base-qag-bg-finetuned-grammar-bg
This model is a fine-tuned version of
rmihaylov/pegasus-base-qag-bg
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.2544
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
1.4405
1.0
375
1.2704
1.2396
2.0
750
1.2544
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1
