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

# results_bert

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: 0.4209
- Accuracy: 0.8661

## 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: 5e-05
- train_batch_size: 128
- eval_batch_size: 512
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 120  | 0.6514          | 0.6248   |
| No log        | 2.0   | 240  | 0.5753          | 0.7198   |
| No log        | 3.0   | 360  | 0.6240          | 0.6720   |
| No log        | 4.0   | 480  | 0.4622          | 0.7847   |
| 0.6066        | 5.0   | 600  | 0.5026          | 0.7693   |
| 0.6066        | 6.0   | 720  | 0.4972          | 0.7817   |
| 0.6066        | 7.0   | 840  | 0.4209          | 0.7947   |
| 0.6066        | 8.0   | 960  | 0.4197          | 0.8142   |
| 0.4452        | 9.0   | 1080 | 0.5085          | 0.7935   |
| 0.4452        | 10.0  | 1200 | 0.3948          | 0.8265   |
| 0.4452        | 11.0  | 1320 | 0.3898          | 0.8307   |
| 0.4452        | 12.0  | 1440 | 0.3542          | 0.8490   |
| 0.322         | 13.0  | 1560 | 0.4070          | 0.8342   |
| 0.322         | 14.0  | 1680 | 0.3532          | 0.8454   |
| 0.322         | 15.0  | 1800 | 0.4472          | 0.8319   |
| 0.322         | 16.0  | 1920 | 0.3935          | 0.8549   |
| 0.2358        | 17.0  | 2040 | 0.3641          | 0.8625   |
| 0.2358        | 18.0  | 2160 | 0.3950          | 0.8614   |
| 0.2358        | 19.0  | 2280 | 0.4140          | 0.8655   |
| 0.2358        | 20.0  | 2400 | 0.4209          | 0.8661   |


### Framework versions

- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2