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---
metrics:
- f1
- accuracy
model-index:
- name: aha_classification
results: []
---
<!-- 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. -->
# aha_classification
- Loss: 0.1156
- F1: 0.9617
- Roc Auc: 0.9682
- Accuracy: 0.9478
## 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: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log | 1.0 | 42 | 0.3257 | 0.8718 | 0.8998 | 0.8522 |
| No log | 2.0 | 84 | 0.1861 | 0.9451 | 0.9573 | 0.9217 |
| No log | 3.0 | 126 | 0.1474 | 0.9492 | 0.9595 | 0.9304 |
| No log | 4.0 | 168 | 0.1156 | 0.9617 | 0.9682 | 0.9478 |
| No log | 5.0 | 210 | 0.1185 | 0.9536 | 0.9637 | 0.9391 |
| No log | 6.0 | 252 | 0.1133 | 0.9492 | 0.9595 | 0.9304 |
| No log | 7.0 | 294 | 0.1098 | 0.9580 | 0.9679 | 0.9391 |
| No log | 8.0 | 336 | 0.1084 | 0.9536 | 0.9637 | 0.9391 |
| No log | 9.0 | 378 | 0.1167 | 0.9536 | 0.9637 | 0.9391 |
### Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1 |