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pegasust5base – AI Model by 12345deena | AlphaNeural AI
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12345deena
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pegasust5base
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transformers
tensorboard
safetensors
pegasus_x
text2text-generation
generated_from_trainer
google/pegasus-x-base
finetune
endpoints_compatible
us
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pegasust5base
This model is a fine-tuned version of
google/pegasus-x-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.0441
Rouge1: 46.3783
Rouge2: 22.2914
Rougel: 28.5553
Rougelsum: 41.5329
Gen Len: 293.2118
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: 4e-05
train_batch_size: 4
eval_batch_size: 4
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
2.4875
1.0
515
2.0441
46.3783
22.2914
28.5553
41.5329
293.2118
Framework versions
Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
