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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: answerdotai/ModernBERT-large |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: ModernBERT-Reflections-goodareas-classifier |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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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) |
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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/ver7zql6) |
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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/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/ginadzp8) |
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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/6ofwzhfk) |
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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/bfld45b3) |
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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/ppaajpfs) |
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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/f4splclm) |
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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/0iqpwizp) |
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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/re0dfpi3) |
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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/1qnrtp6c) |
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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/vhi1pheu) |
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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/a6s13itb) |
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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/hgqk1sp5) |
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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/hutjz5n2) |
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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/rd0hak7n) |
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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) |
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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/noplgwdw) |
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# ModernBERT-Reflections-goodareas-classifier |
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This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.2884 |
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- Accuracy: 0.8704 |
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- Precision: 0.3922 |
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- Recall: 0.2105 |
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- F1: 0.2740 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 7e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.6449 | 1.0 | 461 | 0.5441 | 0.7579 | 0.2670 | 0.6211 | 0.3734 | |
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| 0.5152 | 2.0 | 922 | 0.4987 | 0.7604 | 0.2905 | 0.7368 | 0.4167 | |
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| 0.4085 | 3.0 | 1383 | 0.6748 | 0.8093 | 0.3174 | 0.5579 | 0.4046 | |
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| 0.2293 | 4.0 | 1844 | 2.3348 | 0.8667 | 0.3939 | 0.2737 | 0.3230 | |
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| 0.0264 | 5.0 | 2305 | 5.2884 | 0.8704 | 0.3922 | 0.2105 | 0.2740 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.21.0 |
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