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pegasus-model3-3110 – AI Model by theojolliffe | AlphaNeural AI
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theojolliffe
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pegasus-model3-3110
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transformers
pytorch
tensorboard
pegasus
text2text-generation
generated_from_trainer
endpoints_compatible
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pegasus-model3-3110
This model is a fine-tuned version of
theojolliffe/pegasus-model-3-x25
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1269
Rouge1: 72.1367
Rouge2: 65.5268
Rougel: 65.3716
Rougelsum: 71.2474
Gen Len: 123.3766
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: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.3788
1.0
1453
0.1890
68.8116
60.1635
61.4549
67.7849
122.4805
0.2309
2.0
2906
0.1269
72.1367
65.5268
65.3716
71.2474
123.3766
Framework versions
Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1
