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fine-tuned-pegasus-samsum – AI Model by ronit33 | AlphaNeural AI
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fine-tuned-pegasus-samsum
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transformers
pytorch
tensorboard
pegasus
text2text-generation
generated_from_trainer
samsum
google/pegasus-cnn_dailymail
finetune
endpoints_compatible
us
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fine-tuned-pegasus-samsum
This model is a fine-tuned version of
google/pegasus-cnn_dailymail
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.4829
rouge1: 0.501843
rouge2: 0.27619
rougeL: 0.406634
rougeLsum: 0.406634
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.6647
0.54
500
1.4829
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
