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pegasus-large-finetuned-samsum – AI Model by sohamchougule | AlphaNeural AI
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pegasus-large-finetuned-samsum
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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
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: 1.3643
Rouge1: 52.7469
Rouge2: 29.0351
Rougel: 44.8192
Rougelsum: 48.8073
Gen Len: 21.9095
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
1.4754
1.0
7366
1.3643
52.7469
29.0351
44.8192
48.8073
21.9095
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
