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bart-cnn-samsum-finetuned – AI Model by msubhasish28 | AlphaNeural AI
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msubhasish28
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bart-cnn-samsum-finetuned
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
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 an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1496
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.1185
1.0
74
0.1496
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Tokenizers 0.15.2
