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pegasus-tweet-sumL – AI Model by drigger | AlphaNeural AI
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drigger
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pegasus-tweet-sumL
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transformers
pytorch
tensorboard
pegasus
text2text-generation
generated_from_trainer
endpoints_compatible
us
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pegasus-tweet-sumL
This model is a fine-tuned version of
transformersbook/pegasus-samsum
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6848
Rouge1: 44.8046
Rouge2: 23.4242
Rougel: 36.5586
Rougelsum: 41.3014
Gen Len: 65.0861
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
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.2021
1.0
750
1.6848
44.8046
23.4242
36.5586
41.3014
65.0861
Framework versions
Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
