Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbart-cnn-6-6-finetuned-xsum-intro-test – AI Model by fanzru | AlphaNeural AI
You can deploy this model and start earning money today!
fanzru
/
distilbart-cnn-6-6-finetuned-xsum-intro-test
like
0
transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
xsum
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbart-cnn-6-6-finetuned-xsum-intro-test
This model is a fine-tuned version of
sshleifer/distilbart-cnn-6-6
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: 1.9036
Rouge1: 32.0474
Rouge2: 12.3779
Rougel: 23.5491
Rougelsum: 24.251
Gen Len: 60.8594
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: 16
eval_batch_size: 16
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
1.9432
1.0
12753
1.9036
32.0474
12.3779
23.5491
24.251
60.8594
Framework versions
Transformers 4.24.0
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2
