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bart-large-cnn-finetuned-weaksup-1000-pad – AI Model by cammy | AlphaNeural AI
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bart-large-cnn-finetuned-weaksup-1000-pad
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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bart-large-cnn-finetuned-weaksup-1000-pad
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: 0.4168
Rouge1: 26.2506
Rouge2: 10.7802
Rougel: 19.2236
Rougelsum: 22.6883
Gen Len: 68.74
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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.1434
1.0
1000
0.4168
26.2506
10.7802
19.2236
22.6883
68.74
Framework versions
Transformers 4.16.2
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.11.0
