---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: answerdotai-ModernBERT-base-anion-neg-bal-1e-06-256
  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. -->

# answerdotai-ModernBERT-base-anion-neg-bal-1e-06-256

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: 0.3196

## 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: 1e-06
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6865        | 1.0   | 358  | 0.5785          |
| 0.5191        | 2.0   | 716  | 0.4656          |
| 0.435         | 3.0   | 1074 | 0.4231          |
| 0.3931        | 4.0   | 1432 | 0.3961          |
| 0.3758        | 5.0   | 1790 | 0.3774          |
| 0.3458        | 6.0   | 2148 | 0.3627          |
| 0.3247        | 7.0   | 2506 | 0.3526          |
| 0.3032        | 8.0   | 2864 | 0.3431          |
| 0.2864        | 9.0   | 3222 | 0.3359          |
| 0.2804        | 10.0  | 3580 | 0.3331          |
| 0.2644        | 11.0  | 3938 | 0.3240          |
| 0.254         | 12.0  | 4296 | 0.3206          |
| 0.2406        | 13.0  | 4654 | 0.3191          |
| 0.2324        | 14.0  | 5012 | 0.3188          |
| 0.2242        | 15.0  | 5370 | 0.3189          |
| 0.2139        | 16.0  | 5728 | 0.3159          |
| 0.2087        | 17.0  | 6086 | 0.3166          |
| 0.2019        | 18.0  | 6444 | 0.3151          |
| 0.1984        | 19.0  | 6802 | 0.3173          |
| 0.1887        | 20.0  | 7160 | 0.3203          |
| 0.1814        | 21.0  | 7518 | 0.3196          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1