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pegasus-latest-finetuned – AI Model by october-sd | AlphaNeural AI
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pegasus-latest-finetuned
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transformers
tensorboard
safetensors
pegasus
text2text-generation
summarization
generated_from_trainer
october-sd/pegasus-xsum-finetuned-en-sum
finetune
endpoints_compatible
us
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pegasus-latest-finetuned
This model is a fine-tuned version of
october-sd/pegasus-xsum-finetuned-en-sum
on an unknown dataset.
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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
No log
0.97
16
1.4365
Framework versions
Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.15.0
Tokenizers 0.15.2
