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bart-large-cnn-1000-sum-pad-early-tfidf1 – AI Model by cammy | AlphaNeural AI
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bart-large-cnn-1000-sum-pad-early-tfidf1
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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bart-large-cnn-1000-sum-pad-early-tfidf1
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: 0.8527
Rouge1: 24.6303
Rouge2: 11.0396
Rougel: 19.1384
Rougelsum: 20.94
Gen Len: 67.84
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
0.3304
1.0
1000
0.7234
25.9428
12.5482
21.0784
23.6041
64.68
0.1502
2.0
2000
0.8527
24.6303
11.0396
19.1384
20.94
67.84
Framework versions
Transformers 4.16.2
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.0
