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bart-cnn-samsum-peft – AI Model by rfsilva | AlphaNeural AI | AlphaNeural AI
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rfsilva
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bart-cnn-samsum-peft
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peft
safetensors
generated_from_trainer
samsum
ingeniumacademy/bart-cnn-samsum-finetuned
adapter
mit
us
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bart-cnn-samsum-peft
This model is a fine-tuned version of
ingeniumacademy/bart-cnn-samsum-finetuned
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 0.1344
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
0.0797
1.0
19
0.1344
0.0868
2.0
38
0.1344
0.0769
3.0
57
0.1344
0.0788
4.0
76
0.1344
0.0933
5.0
95
0.1344
Framework versions
PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0
