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pegasus-x-base-pegasus_article_summarization_base2 – AI Model by LAKSHM11-G | AlphaNeural AI
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LAKSHM11-G
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pegasus-x-base-pegasus_article_summarization_base2
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peft
tensorboard
safetensors
generated_from_trainer
google/pegasus-x-base
adapter
us
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pegasus-x-base-pegasus_article_summarization_base2
This model is a fine-tuned version of
google/pegasus-x-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.5067
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
50
3.9509
No log
2.0
100
3.5692
No log
3.0
150
3.5067
Framework versions
PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.1.0+cu121
Datasets 2.19.0
Tokenizers 0.15.0
