---
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