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distilbart-cnn-12-6-finetuned-1.3.1 – AI Model by jamesesguerra | AlphaNeural AI
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jamesesguerra
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distilbart-cnn-12-6-finetuned-1.3.1
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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distilbart-cnn-12-6-finetuned-1.3.1
This model is a fine-tuned version of
sshleifer/distilbart-cnn-12-6
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7396
Rouge1: 50.4939
Rouge2: 23.7745
Rougel: 35.3779
Rougelsum: 45.8578
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
2.0871
1.0
982
1.8224
49.5128
23.1207
34.3412
44.7552
1.5334
2.0
1964
1.7396
50.4939
23.7745
35.3779
45.8578
Framework versions
Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
