lbl-file4-fold2
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2387
- Accuracy: 0.6610
- F1: 0.6204
- Precision: 0.6814
- Recall: 0.6610
- Accuracy Label Label 0: 0.0
- Accuracy Label Label 1: 0.0
- Accuracy Label Label 2: 0.0
- Accuracy Label Label 3: 0.0
- Accuracy Label Label 4: 0.0
- Accuracy Label Label 5: 0.1401
- Accuracy Label Label 6: 0.2634
- Accuracy Label Label 7: 0.6453
- Accuracy Label Label 8: 0.5
- Accuracy Label Label 9: 0.9650
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Accuracy Label Label 0 | Accuracy Label Label 1 | Accuracy Label Label 2 | Accuracy Label Label 3 | Accuracy Label Label 4 | Accuracy Label Label 5 | Accuracy Label Label 6 | Accuracy Label Label 7 | Accuracy Label Label 8 | Accuracy Label Label 9 |
|---|
| No log | 0.24 | 250 | 1.2127 | 0.6712 | 0.6288 | 0.6772 | 0.6712 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1075 | 0.2682 | 0.6830 | 0.4886 | 0.9496 |
| No log | 0.48 | 500 | 1.3075 | 0.6425 | 0.6022 | 0.6874 | 0.6425 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1580 | 0.2328 | 0.5983 | 0.3693 | 0.9792 |
| No log | 0.73 | 750 | 1.2440 | 0.6605 | 0.6206 | 0.6850 | 0.6605 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1840 | 0.2471 | 0.6395 | 0.4545 | 0.9704 |
| 0.4563 | 0.97 | 1000 | 1.2387 | 0.6610 | 0.6204 | 0.6814 | 0.6610 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1401 | 0.2634 | 0.6453 | 0.5 | 0.9650 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.13.3
