---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: ModernBERT-Questions-goodareas-classifier
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ryanlouie2021-stanford-university/modernbert-Reflections-goodareas-sweeps/runs/3u6o9mcs)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ryanlouie2021-stanford-university/modernbert-Reflections-goodareas-sweeps/runs/ver7zql6)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ryanlouie2021-stanford-university/modernbert-Reflections-goodareas-sweeps/runs/bgkconer)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ryanlouie2021-stanford-university/modernbert-Reflections-goodareas-sweeps/runs/mjq9j1y2)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ryanlouie2021-stanford-university/modernbert-Reflections-goodareas-sweeps/runs/pxufas3e)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ryanlouie2021-stanford-university/modernbert-Reflections-goodareas-sweeps/runs/0g9pz5x1)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ryanlouie2021-stanford-university/modernbert-Reflections-goodareas-sweeps/runs/noplgwdw)
# ModernBERT-Questions-goodareas-classifier

This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5872
- Accuracy: 0.7824
- Precision: 0.5864
- Recall: 0.5308
- F1: 0.5572

## 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: 7e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.4442        | 1.0   | 461  | 0.4667          | 0.7457   | 0.5039    | 0.9147 | 0.6498 |
| 0.3773        | 2.0   | 922  | 0.6937          | 0.8081   | 0.6239    | 0.6445 | 0.6340 |
| 0.2833        | 3.0   | 1383 | 0.7664          | 0.8056   | 0.6161    | 0.6540 | 0.6345 |
| 0.1719        | 4.0   | 1844 | 1.0995          | 0.7836   | 0.5817    | 0.5735 | 0.5776 |
| 0.091         | 5.0   | 2305 | 1.5872          | 0.7824   | 0.5864    | 0.5308 | 0.5572 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0