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CoT-multiDomain-Summ – AI Model by Benphil | AlphaNeural AI
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Benphil
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CoT-multiDomain-Summ
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transformers
safetensors
pegasus
text2text-generation
generated_from_trainer
google/pegasus-cnn_dailymail
finetune
endpoints_compatible
us
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CoT-multiDomain-Summ
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: 1.1456
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: 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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
438
1.2374
4.18
2.0
876
1.1642
1.1654
3.0
1314
1.1482
1.0725
4.0
1752
1.1456
Framework versions
Transformers 4.41.1
Pytorch 2.3.0+cu118
Datasets 2.19.1
Tokenizers 0.19.1
