Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-squad-v2-finetuned-financefpa – AI Model by Mariah64 | AlphaNeural AI
You can deploy this model and start earning money today!
Mariah64
/
distilbert-base-uncased-finetuned-squad-v2-finetuned-financefpa
like
0
transformers
tf
tensorboard
distilbert
question-answering
generated_from_keras_callback
Mariah64/distilbert-base-uncased-finetuned-squad-v2
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Mariah64/distilbert-base-uncased-finetuned-squad-v2-finetuned-financefpa
This model is a fine-tuned version of
Mariah64/distilbert-base-uncased-finetuned-squad-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 4.7725
Train End Logits Accuracy: 0.25
Train Start Logits Accuracy: 0.0781
Validation Loss: 5.6477
Validation End Logits Accuracy: 0.1667
Validation Start Logits Accuracy: 0.0
Epoch: 1
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': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 4, '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
Train End Logits Accuracy
Train Start Logits Accuracy
Validation Loss
Validation End Logits Accuracy
Validation Start Logits Accuracy
Epoch
6.2948
0.2188
0.0625
6.2126
0.1667
0.0
0
4.7725
0.25
0.0781
5.6477
0.1667
0.0
1
Framework versions
Transformers 4.41.1
TensorFlow 2.15.0
Datasets 2.19.1
Tokenizers 0.19.1
