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distilbert-base-uncased-mlm-electronics – AI Model by ksabeh | AlphaNeural AI
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ksabeh
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distilbert-base-uncased-mlm-electronics
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transformers
tf
distilbert
fill-mask
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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ksabeh/distilbert-base-uncased-mlm-electronics
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: 2.1782
Validation Loss: 2.0887
Epoch: 2
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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
2.3455
2.2411
0
2.2561
2.1496
1
2.1782
2.0887
2
Framework versions
Transformers 4.18.0
TensorFlow 2.6.3
Datasets 2.1.0
Tokenizers 0.12.1
