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pegasus-reviews – AI Model by ravinderbrai | AlphaNeural AI
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ravinderbrai
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pegasus-reviews
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transformers
pytorch
pegasus
text2text-generation
summarization
generated_from_trainer
google/pegasus-cnn_dailymail
finetune
endpoints_compatible
us
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pegasus-reviews
This model is a fine-tuned version of
google/pegasus-cnn_dailymail
on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.3085
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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 6
Training results
Training Loss
Epoch
Step
Validation Loss
0.8541
1.0
1
4.3114
0.8178
2.0
2
4.3112
0.9366
3.0
3
4.3108
0.831
4.0
4
4.3102
0.8294
5.0
5
4.3094
0.2781
5.33
6
4.3085
Framework versions
Transformers 4.34.1
Pytorch 2.1.0
Datasets 2.12.0
Tokenizers 0.14.1
