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distilroberta-base-finetuned-logHDFD – AI Model by ArchitJamb | AlphaNeural AI
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ArchitJamb
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distilroberta-base-finetuned-logHDFD
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transformers
tf
roberta
fill-mask
generated_from_keras_callback
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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ArchitJamb/distilroberta-base-finetuned-logHDFD
This model is a fine-tuned version of
distilroberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.9663
Validation Loss: 0.6214
Epoch: 0
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
0.9663
0.6214
0
Framework versions
Transformers 4.35.2
TensorFlow 2.14.0
Datasets 2.15.0
Tokenizers 0.15.0
