<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
ff_analysis_3
This model is a fine-tuned version of zdreiosis/ff_analysis_2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0060
- 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 | 1.02 | 50 | 0.0138 | 1.0 | 1.0 | 1.0 |
| No log | 2.04 | 100 | 0.0132 | 0.9966 | 0.9966 | 0.9885 |
| No log | 3.06 | 150 | 0.0097 | 1.0 | 1.0 | 1.0 |
| No log | 4.08 | 200 | 0.0095 | 0.9966 | 0.9966 | 0.9885 |
| No log | 5.1 | 250 | 0.0096 | 1.0 | 1.0 | 1.0 |
| No log | 6.12 | 300 | 0.0079 | 1.0 | 1.0 | 1.0 |
| No log | 7.14 | 350 | 0.0070 | 1.0 | 1.0 | 1.0 |
| No log | 8.16 | 400 | 0.0069 | 1.0 | 1.0 | 1.0 |
| No log | 9.18 | 450 | 0.0065 | 1.0 | 1.0 | 1.0 |
| 0.012 | 10.2 | 500 | 0.0060 | 1.0 | 1.0 | 1.0 |
| 0.012 | 11.22 | 550 | 0.0060 | 0.9966 | 0.9966 | 0.9885 |
| 0.012 | 12.24 | 600 | 0.0054 | 1.0 | 1.0 | 1.0 |
| 0.012 | 13.27 | 650 | 0.0049 | 1.0 | 1.0 | 1.0 |
| 0.012 | 14.29 | 700 | 0.0048 | 1.0 | 1.0 | 1.0 |
| 0.012 | 15.31 | 750 | 0.0046 | 1.0 | 1.0 | 1.0 |
| 0.012 | 16.33 | 800 | 0.0042 | 1.0 | 1.0 | 1.0 |
| 0.012 | 17.35 | 850 | 0.0042 | 1.0 | 1.0 | 1.0 |
| 0.012 | 18.37 | 900 | 0.0040 | 1.0 | 1.0 | 1.0 |
| 0.012 | 19.39 | 950 | 0.0040 | 1.0 | 1.0 | 1.0 |
| 0.0046 | 20.41 | 1000 | 0.0038 | 1.0 | 1.0 | 1.0 |
| 0.0046 | 21.43 | 1050 | 0.0037 | 1.0 | 1.0 | 1.0 |
| 0.0046 | 22.45 | 1100 | 0.0039 | 1.0 | 1.0 | 1.0 |
| 0.0046 | 23.47 | 1150 | 0.0038 | 1.0 | 1.0 | 1.0 |
| 0.0046 | 24.49 | 1200 | 0.0035 | 1.0 | 1.0 | 1.0 |
| 0.0046 | 25.51 | 1250 | 0.0037 | 1.0 | 1.0 | 1.0 |
| 0.0046 | 26.53 | 1300 | 0.0034 | 1.0 | 1.0 | 1.0 |
| 0.0046 | 27.55 | 1350 | 0.0035 | 1.0 | 1.0 | 1.0 |
| 0.0046 | 28.57 | 1400 | 0.0034 | 1.0 | 1.0 | 1.0 |
| 0.0046 | 29.59 | 1450 | 0.0035 | 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
