Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
QuestionAnswer_ESP – AI Model by 0xJCarlos | AlphaNeural AI
You can deploy this model and start earning money today!
0xJCarlos
/
QuestionAnswer_ESP
like
0
transformers
tf
distilbert
question-answering
generated_from_keras_callback
dccuchile/distilbert-base-spanish-uncased-finetuned-qa-mlqa
finetune
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
0xJCarlos/QuestionAnswer_ESP
This model is a fine-tuned version of
dccuchile/distilbert-base-spanish-uncased-finetuned-qa-mlqa
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.3146
Validation Loss: 1.6961
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': 500, '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
1.9292
1.7179
0
1.4487
1.6961
1
1.3231
1.6961
2
1.3165
1.6961
3
1.3146
1.6961
4
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.1
