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bart-cnn-samsum-peft – AI Model by manishtanwar | AlphaNeural AI
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manishtanwar
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bart-cnn-samsum-peft
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tensorboard
safetensors
generated_from_trainer
ingeniumacademy/bart-cnn-samsum-finetuned
finetune
mit
us
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bart-cnn-samsum-peft
This model is a fine-tuned version of
ingeniumacademy/bart-cnn-samsum-finetuned
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2334
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
Training results
Training Loss
Epoch
Step
Validation Loss
0.0678
1.0
74
0.2392
0.0886
2.0
148
0.2317
0.0803
3.0
222
0.2285
0.0866
4.0
296
0.2327
0.0876
5.0
370
0.2334
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
