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bart-large-cnn-samsum – AI Model by Seba213 | AlphaNeural AI
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Seba213
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bart-large-cnn-samsum
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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-large-cnn-samsum
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: 1.3710
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
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.3477
0.8686
400
1.3732
1.1696
1.7372
800
1.3704
1.136
2.6059
1200
1.3714
Framework versions
Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
