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GPTNEO_Thunderbird-Anomaly_Baseline
This model is a fine-tuned version of EleutherAI/gpt-neo-1.3B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0017
- Accuracy: 0.9998
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|---|---|---|---|---|
| 0.0573 | 1.0 | 2187 | 0.0056 | 0.9990 |
| 0.0051 | 2.0 | 4375 | 0.0037 | 0.9994 |
| 0.0017 | 3.0 | 6562 | 0.0036 | 0.9996 |
| 0.0014 | 4.0 | 8750 | 0.0034 | 0.9996 |
| 0.001 | 5.0 | 10937 | 0.0033 | 0.9996 |
| 0.0013 | 6.0 | 13125 | 0.0035 | 0.9996 |
| 0.0018 | 7.0 | 15312 | 0.0033 | 0.9996 |
| 0.0012 | 8.0 | 17500 | 0.0033 | 0.9996 |
| 0.0012 | 9.0 | 19687 | 0.0033 | 0.9996 |
| 0.0011 | 10.0 | 21870 | 0.0033 | 0.9996 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
