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distilbart-cnn-12-6-finetuned-1.2.1 – AI Model by jamesesguerra | AlphaNeural AI
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jamesesguerra
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distilbart-cnn-12-6-finetuned-1.2.1
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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-1.2.1
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: 1.9404
Rouge1: 30.4308
Rouge2: 13.2594
Rougel: 25.8203
Rougelsum: 25.9617
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: 8
eval_batch_size: 8
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
2.5124
1.0
1171
2.0753
29.493
12.3563
24.8091
24.9317
1.7628
2.0
2342
1.9404
30.4308
13.2594
25.8203
25.9617
Framework versions
Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.12.1
