---
library_name: transformers
license: apache-2.0
base_model: answerdotai/modernbert-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: modernbert_web3_classification
  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_web3_classification

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: 1.9429
- Accuracy: 0.6923
- F1: 0.6711

## 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: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 3.2458        | 1.0   | 643  | 1.4201          | 0.5509   | 0.5134 |
| 2.5825        | 2.0   | 1286 | 1.3174          | 0.5828   | 0.5521 |
| 2.0999        | 3.0   | 1929 | 1.3183          | 0.6240   | 0.6020 |
| 0.7625        | 4.0   | 2572 | 1.3098          | 0.6816   | 0.6592 |
| 0.333         | 5.0   | 3215 | 1.4979          | 0.6760   | 0.6509 |
| 0.1715        | 6.0   | 3858 | 1.5728          | 0.6915   | 0.6769 |
| 0.0617        | 7.0   | 4501 | 1.7623          | 0.6906   | 0.6713 |
| 0.041         | 8.0   | 5144 | 1.9429          | 0.6923   | 0.6711 |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1