Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bart_abstract_summarization – AI Model by jgriffi | AlphaNeural AI
You can deploy this model and start earning money today!
jgriffi
/
bart_abstract_summarization
like
0
transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bart_abstract_summarization
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: 0.1852
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.0559
0.25
500
0.1601
0.0068
0.49
1000
0.2571
0.0016
0.74
1500
0.4330
0.0001
0.99
2000
0.1852
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
