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pegasus-model-3-x25 – AI Model by theojolliffe | AlphaNeural AI
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theojolliffe
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pegasus-model-3-x25
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transformers
pytorch
tensorboard
pegasus
text2text-generation
generated_from_trainer
endpoints_compatible
us
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pegasus-model-3-x25
This model is a fine-tuned version of
theojolliffe/pegasus-cnn_dailymail-v4-e1-e4-feedback
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5668
Rouge1: 61.9972
Rouge2: 48.1531
Rougel: 48.845
Rougelsum: 59.5019
Gen Len: 123.0814
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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.144
1.0
883
0.5668
61.9972
48.1531
48.845
59.5019
123.0814
Framework versions
Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
