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ff_analysis_4
This model is a fine-tuned version of zdreiosis/ff_analysis_4 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0022
- F1: 1.0
- Roc Auc: 1.0
- Accuracy: 1.0
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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.47 | 50 | 0.0055 | 1.0 | 1.0 | 1.0 |
| No log | 2.94 | 100 | 0.0052 | 1.0 | 1.0 | 1.0 |
| No log | 4.41 | 150 | 0.0044 | 1.0 | 1.0 | 1.0 |
| No log | 5.88 | 200 | 0.0037 | 1.0 | 1.0 | 1.0 |
| No log | 7.35 | 250 | 0.0030 | 1.0 | 1.0 | 1.0 |
| No log | 8.82 | 300 | 0.0030 | 1.0 | 1.0 | 1.0 |
| No log | 10.29 | 350 | 0.0028 | 1.0 | 1.0 | 1.0 |
| No log | 11.76 | 400 | 0.0027 | 1.0 | 1.0 | 1.0 |
| No log | 13.24 | 450 | 0.0025 | 1.0 | 1.0 | 1.0 |
| 0.0078 | 14.71 | 500 | 0.0022 | 1.0 | 1.0 | 1.0 |
| 0.0078 | 16.18 | 550 | 0.0025 | 1.0 | 1.0 | 1.0 |
| 0.0078 | 17.65 | 600 | 0.0023 | 1.0 | 1.0 | 1.0 |
| 0.0078 | 19.12 | 650 | 0.0022 | 1.0 | 1.0 | 1.0 |
| 0.0078 | 20.59 | 700 | 0.0022 | 1.0 | 1.0 | 1.0 |
| 0.0078 | 22.06 | 750 | 0.0021 | 1.0 | 1.0 | 1.0 |
| 0.0078 | 23.53 | 800 | 0.0020 | 1.0 | 1.0 | 1.0 |
| 0.0078 | 25.0 | 850 | 0.0020 | 1.0 | 1.0 | 1.0 |
| 0.0078 | 26.47 | 900 | 0.0019 | 1.0 | 1.0 | 1.0 |
| 0.0078 | 27.94 | 950 | 0.0019 | 1.0 | 1.0 | 1.0 |
| 0.0025 | 29.41 | 1000 | 0.0019 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.10.3
