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pegasus-xsum-finetuned-keyfindings – AI Model by basvreeman | AlphaNeural AI
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pegasus-xsum-finetuned-keyfindings
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transformers
tensorboard
safetensors
pegasus
text2text-generation
generated_from_trainer
google/pegasus-xsum
finetune
endpoints_compatible
us
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pegasus-xsum-finetuned-keyfindings
This model is a fine-tuned version of
google/pegasus-xsum
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5754
Rouge1: 49.1483
Rouge2: 26.7485
Rougel: 40.7712
Rougelsum: 40.7847
Gen Len: 31.5733
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: 2e-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
No log
1.0
300
1.5754
49.1483
26.7485
40.7712
40.7847
31.5733
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.15.2
