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bart-cnn-samsum-peft – AI Model by Jean-Michel | AlphaNeural AI
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Jean-Michel
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bart-cnn-samsum-peft
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peft
tensorboard
safetensors
generated_from_trainer
samsum
Jean-Michel/bart-cnn-samsum-finetuned
adapter
mit
us
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bart-cnn-samsum-peft
This model is a fine-tuned version of
Jean-Michel/bart-cnn-samsum-finetuned
on the samsum 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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Framework versions
PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1
