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library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: m3
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. -->
# m3
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: 0.3164
- Accuracy: 0.9587
## 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: 48
- eval_batch_size: 48
- 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: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.162 | 1.0 | 318 | 0.9002 | 0.9026 |
| 0.5751 | 2.0 | 636 | 0.5701 | 0.9429 |
| 0.3266 | 3.0 | 954 | 0.4162 | 0.9555 |
| 0.222 | 4.0 | 1272 | 0.3541 | 0.9558 |
| 0.1758 | 5.0 | 1590 | 0.3308 | 0.9597 |
| 0.154 | 6.0 | 1908 | 0.3206 | 0.9597 |
| 0.1421 | 7.0 | 2226 | 0.3187 | 0.9581 |
| 0.1358 | 8.0 | 2544 | 0.3164 | 0.9587 |
### Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
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