---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: m2
  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. -->

# m2

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: 0.3031
- Accuracy: 0.9610

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 4.8454        | 1.0   | 318  | 0.9877          | 0.8987   |
| 0.4508        | 2.0   | 636  | 0.5239          | 0.9426   |
| 0.1701        | 3.0   | 954  | 0.4176          | 0.9529   |
| 0.1037        | 4.0   | 1272 | 0.3749          | 0.9545   |
| 0.0779        | 5.0   | 1590 | 0.3482          | 0.9561   |
| 0.0635        | 6.0   | 1908 | 0.3291          | 0.9594   |
| 0.0546        | 7.0   | 2226 | 0.3163          | 0.9610   |
| 0.048         | 8.0   | 2544 | 0.3095          | 0.9619   |
| 0.0444        | 9.0   | 2862 | 0.3045          | 0.9616   |
| 0.0423        | 10.0  | 3180 | 0.3031          | 0.9610   |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0