---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: modernbert-base-multi-head
  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-base-multi-head

This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6827
- F1 Macro: 0.4188

## 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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1 Macro |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5788        | 1.0   | 1534  | 0.5783          | 0.0      |
| 0.5675        | 2.0   | 3068  | 0.5714          | 0.1304   |
| 0.5424        | 3.0   | 4602  | 0.5386          | 0.1952   |
| 0.516         | 4.0   | 6136  | 0.5493          | 0.2382   |
| 0.4922        | 5.0   | 7670  | 0.6015          | 0.2394   |
| 0.4744        | 6.0   | 9204  | 0.5404          | 0.3192   |
| 0.4494        | 7.0   | 10738 | 0.5746          | 0.3733   |
| 0.4353        | 8.0   | 12272 | 0.5689          | 0.3396   |
| 0.4147        | 9.0   | 13806 | 0.5695          | 0.3608   |
| 0.4006        | 10.0  | 15340 | 0.6441          | 0.3871   |
| 0.3843        | 11.0  | 16874 | 0.5938          | 0.3888   |
| 0.3763        | 12.0  | 18408 | 0.6159          | 0.4054   |
| 0.3606        | 13.0  | 19942 | 0.5831          | 0.4042   |
| 0.3478        | 14.0  | 21476 | 0.6116          | 0.4056   |
| 0.3447        | 15.0  | 23010 | 0.6169          | 0.3999   |
| 0.3215        | 16.0  | 24544 | 0.6441          | 0.4150   |
| 0.3196        | 17.0  | 26078 | 0.6530          | 0.4129   |
| 0.3184        | 18.0  | 27612 | 0.6634          | 0.4192   |
| 0.3065        | 19.0  | 29146 | 0.6791          | 0.4192   |
| 0.298         | 20.0  | 30680 | 0.6827          | 0.4188   |


### Framework versions

- Transformers 4.53.1
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2