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pegasus-trial – AI Model by RafSarLop | AlphaNeural AI
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RafSarLop
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pegasus-trial
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transformers
tensorboard
safetensors
pegasus
text2text-generation
simplification
generated_from_trainer
tuner007/pegasus_summarizer
finetune
apache-2.0
endpoints_compatible
us
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pegasus-trial
This model is a fine-tuned version of
tuner007/pegasus_summarizer
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2040
Bleu: 78.9331
Gen Len: 25.4062
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: 5.6e-05
train_batch_size: 3
eval_batch_size: 3
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
Bleu
Gen Len
0.2604
1.0
1171
0.3016
77.0102
25.2188
0.1384
2.0
2342
0.2040
78.9331
25.4062
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2