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pegasus-large-finetuned-samsum-test – AI Model by sohamchougule | AlphaNeural AI
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pegasus-large-finetuned-samsum-test
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transformers
pytorch
tensorboard
pegasus
text2text-generation
generated_from_trainer
samsum
model-index
endpoints_compatible
us
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pegasus-large-finetuned-samsum-test
This model is a fine-tuned version of
google/pegasus-large
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.3835
Rouge1: 51.4013
Rouge2: 27.1012
Rougel: 43.4218
Rougelsum: 47.1203
Gen Len: 20.6996
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: 0.0002
train_batch_size: 2
eval_batch_size: 2
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
1.4761
1.0
7366
1.3835
51.4013
27.1012
43.4218
47.1203
20.6996
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
