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bart-paraphrase-v8-e1-rev – AI Model by theojolliffe | AlphaNeural AI
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theojolliffe
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bart-paraphrase-v8-e1-rev
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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bart-paraphrase-v8-e1-rev
This model is a fine-tuned version of
eugenesiow/bart-paraphrase
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2811
Rouge1: 59.7973
Rouge2: 54.3079
Rougel: 56.5768
Rougelsum: 59.4379
Gen Len: 19.8108
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
0.1123
1.0
28370
0.2811
59.7973
54.3079
56.5768
59.4379
19.8108
Framework versions
Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
