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bart-paraphrase-v2-e1 – AI Model by theojolliffe | AlphaNeural AI
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bart-paraphrase-v2-e1
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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-v2-e1
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: 0.1536
Rouge1: 72.6807
Rouge2: 68.1957
Rougel: 71.1787
Rougelsum: 71.3376
Gen Len: 19.5698
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
0.0682
1.0
7093
0.1536
72.6807
68.1957
71.1787
71.3376
19.5698
Framework versions
Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
