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bart-base-finetuned-cnn-dm – AI Model by mohammedbriman | AlphaNeural AI
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bart-base-finetuned-cnn-dm
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
cnn_dailymail
apache-2.0
model-index
endpoints_compatible
us
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bart-base-finetuned-cnn-dm
This model is a fine-tuned version of
facebook/bart-base
on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
Loss: 0.9441
Rouge1: 24.5981
Rouge2: 12.307
Rougel: 20.4524
Rougelsum: 20.5108
Gen Len: 19.9993
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: 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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.961
1.0
143557
0.9441
24.5981
12.307
20.4524
20.5108
19.9993
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.13.2
