Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
text_summarization-finetuned-multi-news – AI Model by mehassan | AlphaNeural AI
You can deploy this model and start earning money today!
mehassan
/
text_summarization-finetuned-multi-news
like
0
transformers
tf
t5
text2text-generation
generated_from_keras_callback
Falconsai/text_summarization
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
mehassan/text_summarization-finetuned-multi-news
This model is a fine-tuned version of
Falconsai/text_summarization
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: nan
Validation Loss: nan
Epoch: 4
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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 670, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
nan
nan
0
nan
nan
1
nan
nan
2
nan
nan
3
nan
nan
4
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.17.0
Tokenizers 0.15.1
