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bart-paraphrase-v0.75-e1 – AI Model by theojolliffe | AlphaNeural AI
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theojolliffe
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bart-paraphrase-v0.75-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-v0.75-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: 0.1865
Rouge1: 71.3427
Rouge2: 66.0011
Rougel: 69.8855
Rougelsum: 69.9796
Gen Len: 19.6036
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
0.1373
1.0
2660
0.1865
71.3427
66.0011
69.8855
69.9796
19.6036
Framework versions
Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
