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product_chatbot – AI Model by shungyan | AlphaNeural AI
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shungyan
/
product_chatbot
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transformers
tf
distilbert
question-answering
generated_from_keras_callback
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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shungyan/product_chatbot
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: 1.7852
Validation Loss: 1.8731
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': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 200, '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
4.9100
3.6066
0
3.1064
2.7250
1
2.5975
2.5330
2
2.4268
2.4540
3
2.3321
2.2441
4
2.2069
2.2428
5
2.1409
2.1035
6
1.9815
2.0602
7
1.9231
1.9187
8
1.7852
1.8731
9
Framework versions
Transformers 4.35.2
TensorFlow 2.14.0
Datasets 2.15.0
Tokenizers 0.15.0
