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bart-cnn-samsum-finetuned – AI Model by jamilomar | AlphaNeural AI
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jamilomar
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bart-cnn-samsum-finetuned
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
samsum
facebook/bart-large-cnn
finetune
mit
endpoints_compatible
us
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bart-cnn-samsum-finetuned
This model is a fine-tuned version of
facebook/bart-large-cnn
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 0.1365
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.6464
1.0
19
0.1365
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
