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ResultQA_ON_TOTTO_08_06_ – AI Model by darshan7 | AlphaNeural AI
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darshan7
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ResultQA_ON_TOTTO_08_06_
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transformers
tf
distilbert
question-answering
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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darshan7/ResultQA_ON_TOTTO_08_06_
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0194
Validation Loss: 0.1646
Epoch: 9
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 181655, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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
0.1810
0.1342
0
0.0807
0.1239
1
0.0516
0.1320
2
0.0346
0.1539
3
0.0240
0.1646
4
0.0196
0.1646
5
0.0195
0.1646
6
0.0196
0.1646
7
0.0196
0.1646
8
0.0194
0.1646
9
Framework versions
Transformers 4.29.0.dev0
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3
