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RoBERTa_Thunderbird-Anomaly_Baseline
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0121
- Accuracy: 0.9987
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 |
---|---|---|---|---|
0.1134 | 1.0 | 1094 | 0.0684 | 0.9846 |
0.0656 | 2.0 | 2188 | 0.0518 | 0.9846 |
0.0459 | 3.0 | 3282 | 0.0363 | 0.9846 |
0.0335 | 4.0 | 4376 | 0.0264 | 0.9846 |
0.0266 | 5.0 | 5470 | 0.0207 | 0.9846 |
0.0224 | 6.0 | 6564 | 0.0168 | 0.9874 |
0.0202 | 7.0 | 7658 | 0.0140 | 0.9954 |
0.0188 | 8.0 | 8752 | 0.0130 | 0.9954 |
0.0172 | 9.0 | 9846 | 0.0119 | 0.9986 |
0.0161 | 10.0 | 10940 | 0.0117 | 0.9986 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3