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library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: modernbert-tr-classifier
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. -->
# modernbert-tr-classifier
This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2880
- F1: 0.8888
- Accuracy: 0.8898
## 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: 8e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| 1.3439 | 1.0 | 146 | 0.7811 | 0.7564 | 0.7510 |
| 0.5346 | 2.0 | 292 | 0.5727 | 0.8162 | 0.8163 |
| 0.2959 | 3.0 | 438 | 0.5732 | 0.8061 | 0.8082 |
| 0.1828 | 4.0 | 584 | 0.5832 | 0.8494 | 0.8490 |
| 0.1113 | 5.0 | 730 | 0.8149 | 0.8564 | 0.8571 |
| 0.0811 | 6.0 | 876 | 0.9747 | 0.8366 | 0.8367 |
| 0.0427 | 7.0 | 1022 | 1.0021 | 0.8812 | 0.8816 |
| 0.0493 | 8.0 | 1168 | 1.0971 | 0.8614 | 0.8612 |
| 0.0494 | 9.0 | 1314 | 1.3082 | 0.8454 | 0.8449 |
| 0.0205 | 10.0 | 1460 | 1.2811 | 0.8588 | 0.8571 |
| 0.0079 | 11.0 | 1606 | 1.2820 | 0.8534 | 0.8531 |
| 0.0214 | 12.0 | 1752 | 1.0864 | 0.8622 | 0.8612 |
| 0.0113 | 13.0 | 1898 | 1.0554 | 0.8853 | 0.8857 |
| 0.005 | 14.0 | 2044 | 1.3213 | 0.8784 | 0.8776 |
| 0.0023 | 15.0 | 2190 | 1.2395 | 0.8734 | 0.8735 |
| 0.0007 | 16.0 | 2336 | 1.3468 | 0.8870 | 0.8857 |
| 0.0006 | 17.0 | 2482 | 1.3490 | 0.8813 | 0.8816 |
| 0.0007 | 18.0 | 2628 | 1.2886 | 0.8888 | 0.8898 |
| 0.0004 | 19.0 | 2774 | 1.2850 | 0.8888 | 0.8898 |
| 0.0003 | 20.0 | 2920 | 1.2880 | 0.8888 | 0.8898 |
### Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu118
- Datasets 3.1.0
- Tokenizers 0.21.0
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