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bart-large-cnn-100-pad-early-lit – AI Model by cammy | AlphaNeural AI
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cammy
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bart-large-cnn-100-pad-early-lit
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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bart-large-cnn-100-pad-early-lit
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: 1.1460
Rouge1: 25.4944
Rouge2: 7.9048
Rougel: 16.2879
Rougelsum: 20.883
Gen Len: 64.3
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
100
1.0390
27.3059
10.0672
19.7294
23.0611
62.1
No log
2.0
200
1.1460
25.4944
7.9048
16.2879
20.883
64.3
Framework versions
Transformers 4.16.2
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.0
