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bart-large-cnn-samsum – AI Model by varunbhatia1906 | AlphaNeural AI | AlphaNeural AI
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varunbhatia1906
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bart-large-cnn-samsum
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
endpoints_compatible
us
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bart-large-cnn-samsum
This model is a fine-tuned version of
philschmid/bart-large-cnn-samsum
on the None dataset.
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
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
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
1
0.2530
74.7848
67.8491
67.6507
73.9591
91.5556
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
