metadata
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: DistilRoBERTa_Thunderbird-Anomaly_Baseline
results: []
DistilRoBERTa_Thunderbird-Anomaly_Baseline
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0031
- Accuracy: 0.9999
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:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0958 | 1.0 | 1094 | 0.0623 | 0.9846 |
| 0.0514 | 2.0 | 2188 | 0.0340 | 0.9846 |
| 0.0261 | 3.0 | 3282 | 0.0168 | 0.9896 |
| 0.0147 | 4.0 | 4376 | 0.0095 | 1.0 |
| 0.01 | 5.0 | 5470 | 0.0061 | 1.0 |
| 0.0071 | 6.0 | 6564 | 0.0042 | 1.0 |
| 0.0058 | 7.0 | 7658 | 0.0031 | 1.0 |
| 0.0046 | 8.0 | 8752 | 0.0025 | 1.0 |
| 0.0043 | 9.0 | 9846 | 0.0022 | 1.0 |
| 0.0038 | 10.0 | 10940 | 0.0021 | 1.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3