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distilroberta-base-finetuned-cyber-readme-v3 – AI Model by pippinnie | AlphaNeural AI
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pippinnie
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distilroberta-base-finetuned-cyber-readme-v3
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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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pippinnie/distilroberta-base-finetuned-cyber-readme-v3
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: 2.7116
Train Accuracy: 0.0814
Validation Loss: 2.5571
Validation Accuracy: 0.0858
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': '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
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
3.2140
0.0725
2.8631
0.0799
0
2.9968
0.0763
2.7521
0.0823
1
2.8759
0.0783
2.6538
0.0835
2
2.7824
0.0801
2.6089
0.0855
3
2.7116
0.0814
2.5571
0.0858
4
Framework versions
Transformers 4.38.2
TensorFlow 2.16.1
Datasets 2.18.0
Tokenizers 0.15.2
