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bart-large-cnn-samsum – AI Model by getrajeev03 | AlphaNeural AI
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bart-large-cnn-samsum
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
samsum
mit
model-index
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 samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.4821
Rouge1: 40.1703
Rouge2: 20.2613
Rougel: 30.8068
Rougelsum: 37.4968
Gen Len: 60.0366
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: 5e-05
train_batch_size: 2
eval_batch_size: 2
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
1.1917
1.0
7366
1.4821
40.1703
20.2613
30.8068
37.4968
60.0366
Framework versions
Transformers 4.30.2
Pytorch 1.12.1
Datasets 2.13.0
Tokenizers 0.11.0
