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bart-cnn-samsum-peft – AI Model by Aym4n3 | AlphaNeural AI
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Aym4n3
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bart-cnn-samsum-peft
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peft
tensorboard
safetensors
generated_from_trainer
samsum
Aym4n3/bart-cnn-samsum-finetuned
adapter
apache-2.0
us
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bart-cnn-samsum-peft
This model is a fine-tuned version of
Aym4n3/bart-cnn-samsum-finetuned
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 0.1846
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.1969
1.0
614
0.1847
0.1966
2.0
1228
0.1847
0.196
3.0
1842
0.1847
0.1767
4.0
2456
0.1847
0.1807
5.0
3070
0.1846
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
