metadata
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_keras_callback
model-index:
- name: pippinnie/distilroberta-base-finetuned-cyber-readme-v2
results: []
pippinnie/distilroberta-base-finetuned-cyber-readme-v2
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: 2.5523
- Train Accuracy: 0.0844
- Validation Loss: 2.2331
- Validation Accuracy: 0.0916
- 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 |
|---|---|---|---|---|
| 2.9763 | 0.0766 | 2.5856 | 0.0839 | 0 |
| 2.8159 | 0.0795 | 2.4501 | 0.0871 | 1 |
| 2.7022 | 0.0816 | 2.3638 | 0.0892 | 2 |
| 2.6160 | 0.0831 | 2.2778 | 0.0909 | 3 |
| 2.5523 | 0.0844 | 2.2331 | 0.0916 | 4 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.16.1
- Datasets 2.18.0
- Tokenizers 0.15.2