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pegasus_tweet_sum – AI Model by drigger | AlphaNeural AI
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pegasus_tweet_sum
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transformers
pytorch
tensorboard
safetensors
pegasus
text2text-generation
generated_from_trainer
endpoints_compatible
us
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pegasus_tweet_sum
This model is a fine-tuned version of
transformersbook/pegasus-samsum
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3260
Rouge1: 27.0091
Rouge2: 9.1616
Rougel: 19.9548
Rougelsum: 23.608
Gen Len: 50.6667
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
44
2.2587
26.8137
8.4052
18.7378
22.5031
48.25
No log
2.0
88
2.3260
27.0091
9.1616
19.9548
23.608
50.6667
Framework versions
Transformers 4.28.0
Pytorch 2.0.0+cu118
Tokenizers 0.13.3
