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bart-paraphrase-v4-e1-rev – AI Model by theojolliffe | AlphaNeural AI
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theojolliffe
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bart-paraphrase-v4-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-v4-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: 0.4221
Rouge1: 62.2412
Rouge2: 56.1611
Rougel: 59.4952
Rougelsum: 61.581
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
0.0975
1.0
14185
0.4221
62.2412
56.1611
59.4952
61.581
19.6036
Framework versions
Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
