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bart-model2-1209 – AI Model by theojolliffe | AlphaNeural AI
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theojolliffe
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bart-model2-1209
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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bart-model2-1209
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: 0.1658
Rouge1: 55.8035
Rouge2: 46.8603
Rougel: 54.6759
Rougelsum: 55.2072
Gen Len: 19.6748
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
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.9329
1.0
650
0.1658
55.8035
46.8603
54.6759
55.2072
19.6748
Framework versions
Transformers 4.12.3
Pytorch 1.9.0
Datasets 1.18.0
Tokenizers 0.10.3
