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peft_bart – AI Model by tn379 | AlphaNeural AI
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tn379
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peft_bart
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peft
safetensors
generated_from_trainer
philschmid/bart-large-cnn-samsum
adapter
mit
us
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peft_bart
This model is a fine-tuned version of
philschmid/bart-large-cnn-samsum
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8723
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: 0.001
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
1.2444
1.0
151
0.9093
1.1951
2.0
302
0.8908
1.177
3.0
453
0.8790
1.1615
4.0
604
0.8723
Framework versions
PEFT 0.14.0
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
