Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
QA_FineTuned_mdeberta-v3-base-squad2 – AI Model by gp-tar4 | AlphaNeural AI
You can deploy this model and start earning money today!
gp-tar4
/
QA_FineTuned_mdeberta-v3-base-squad2
like
0
transformers
tf
deberta-v2
question-answering
generated_from_keras_callback
ar
timpal0l/mdeberta-v3-base-squad2
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
omarSorour123/sorour_qa_model
This model is a fine-tuned version of
timpal0l/mdeberta-v3-base-squad2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.6044
Validation Loss: 1.6929
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: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 435, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
1.6956
1.5308
0
1.1261
1.5328
1
0.8398
1.6445
2
0.6846
1.6727
3
0.6044
1.6929
4
Framework versions
Transformers 4.40.0
TensorFlow 2.15.0
Datasets 2.19.0
Tokenizers 0.19.1
