---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: modernbert_seeker1
  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_seeker1

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: 3.6513
- F1: 0.6676

## 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: 4
- eval_batch_size: 4
- 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_ratio: 0.1
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 92   | 1.1453          | 0.2556 |
| 1.2432        | 2.0   | 184  | 1.1348          | 0.2269 |
| 1.1447        | 3.0   | 276  | 1.1944          | 0.2624 |
| 1.0924        | 4.0   | 368  | 0.9543          | 0.4673 |
| 0.9918        | 5.0   | 460  | 1.0970          | 0.4892 |
| 0.8981        | 6.0   | 552  | 1.2106          | 0.5669 |
| 0.9261        | 7.0   | 644  | 0.8952          | 0.6269 |
| 0.8208        | 8.0   | 736  | 1.1409          | 0.5480 |
| 0.645         | 9.0   | 828  | 1.7286          | 0.5748 |
| 0.6745        | 10.0  | 920  | 1.4750          | 0.6229 |
| 0.5947        | 11.0  | 1012 | 1.7091          | 0.6628 |
| 0.517         | 12.0  | 1104 | 3.0948          | 0.6180 |
| 0.517         | 13.0  | 1196 | 2.5940          | 0.6671 |
| 0.4901        | 14.0  | 1288 | 2.9827          | 0.6348 |
| 0.2048        | 15.0  | 1380 | 3.1023          | 0.6483 |
| 0.1188        | 16.0  | 1472 | 3.7382          | 0.6332 |
| 0.1236        | 17.0  | 1564 | 3.5499          | 0.6535 |
| 0.0828        | 18.0  | 1656 | 3.6281          | 0.6533 |
| 0.0479        | 19.0  | 1748 | 3.2783          | 0.6820 |
| 0.0081        | 20.0  | 1840 | 3.6055          | 0.6676 |
| 0.031         | 21.0  | 1932 | 3.6255          | 0.6778 |
| 0.0008        | 22.0  | 2024 | 3.6279          | 0.6850 |
| 0.0           | 23.0  | 2116 | 3.6376          | 0.6676 |
| 0.0001        | 24.0  | 2208 | 3.6440          | 0.6676 |
| 0.0           | 25.0  | 2300 | 3.6513          | 0.6676 |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0