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my-qa-model – AI Model by ajaydvrj | AlphaNeural AI
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my-qa-model
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transformers
tf
bert
text-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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my-qa-model
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 2.4373
Train Accuracy: 0.1538
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': False, 'is_legacy_optimizer': False, 'learning_rate': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Accuracy
Epoch
2.6280
0.0769
0
2.5014
0.1538
1
2.5604
0.2308
2
2.5289
0.0769
3
2.4373
0.1538
4
Framework versions
Transformers 4.30.2
TensorFlow 2.13.0
Datasets 2.13.1
Tokenizers 0.13.3
