Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bart-large-cnn-finetuned-xsum – AI Model by Ahmed235 | AlphaNeural AI
You can deploy this model and start earning money today!
Ahmed235
/
bart-large-cnn-finetuned-xsum
like
0
transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-large-cnn
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bart-large-cnn-finetuned-xsum
This model is a fine-tuned version of
facebook/bart-large-cnn
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7906
Rouge1: 31.4003
Rouge2: 12.0156
Rougel: 22.8732
Rougelsum: 23.8269
Gen Len: 65.3575
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: 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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.8383
1.0
500
1.7906
31.4003
12.0156
22.8732
23.8269
65.3575
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.15.2
