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bart-paraphrase-feedback – AI Model by theojolliffe | AlphaNeural AI
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theojolliffe
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bart-paraphrase-feedback
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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-feedback
This model is a fine-tuned version of
theojolliffe/bart-paraphrase-v4-e1-feedback
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3640
Rouge1: 55.8307
Rouge2: 49.7983
Rougel: 51.7379
Rougelsum: 55.0839
Gen Len: 19.4385
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
0.6009
1.0
521
0.3640
55.8307
49.7983
51.7379
55.0839
19.4385
Framework versions
Transformers 4.21.3
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
