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bart-large-cnn-finetuned-weaksup-1000-pad-early-new – AI Model by cammy | AlphaNeural AI
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cammy
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bart-large-cnn-finetuned-weaksup-1000-pad-early-new
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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bart-large-cnn-finetuned-weaksup-1000-pad-early-new
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: 0.4896
Rouge1: 29.4505
Rouge2: 14.4038
Rougel: 23.1757
Rougelsum: 26.3813
Gen Len: 66.55
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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.154
1.0
1000
0.4255
27.2971
12.4331
20.851
23.9583
66.64
0.0806
2.0
2000
0.4896
29.4505
14.4038
23.1757
26.3813
66.55
Framework versions
Transformers 4.16.2
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.0
