Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bart-base-finetuned-xsum – AI Model by Cpod | AlphaNeural AI
You can deploy this model and start earning money today!
Cpod
/
bart-base-finetuned-xsum
like
0
transformers
tf
tensorboard
bart
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Cpod/bart-base-finetuned-xsum
This model is a fine-tuned version of
facebook/bart-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.8095
Validation Loss: 1.7673
Epoch: 2
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:
optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
2.1525
1.8396
0
1.9334
1.7969
1
1.8095
1.7673
2
Framework versions
Transformers 4.26.1
TensorFlow 2.11.0
Datasets 2.10.1
Tokenizers 0.13.2
