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pegasus-xsum – AI Model by judy93536 | AlphaNeural AI
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judy93536
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pegasus-xsum
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transformers
pytorch
pegasus
text2text-generation
generated_from_trainer
google/pegasus-xsum
finetune
endpoints_compatible
us
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pegasus-xsum
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: 0.1821
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: 0.0001
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
lr_scheduler_warmup_steps: 500
num_epochs: 16
Training results
Training Loss
Epoch
Step
Validation Loss
1.8765
3.19
1000
0.1773
0.0278
6.39
2000
0.1685
0.0175
9.58
3000
0.1647
0.0127
12.78
4000
0.1771
0.0103
15.97
5000
0.1821
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1
