---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: answerdotai-ModernBERT-base-finetuned
  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-finetuned

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: 0.0116
- Accuracy: 0.9976
- Precision: 0.9977
- Recall: 0.9976
- F1: 0.9976

## 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: 4.244005797262286e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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: 7

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.0175        | 1.0   | 1506  | 0.0195          | 0.9971   | 0.9971    | 0.9971 | 0.9971 |
| 0.0134        | 2.0   | 3012  | 0.0153          | 0.9970   | 0.9970    | 0.9970 | 0.9970 |
| 0.0           | 3.0   | 4518  | 0.0228          | 0.9976   | 0.9976    | 0.9976 | 0.9976 |
| 0.0           | 4.0   | 6024  | 0.0270          | 0.9976   | 0.9976    | 0.9976 | 0.9976 |
| 0.0           | 5.0   | 7530  | 0.0272          | 0.9976   | 0.9976    | 0.9976 | 0.9976 |
| 0.0           | 6.0   | 9036  | 0.0279          | 0.9975   | 0.9975    | 0.9975 | 0.9975 |
| 0.0           | 7.0   | 10542 | 0.0283          | 0.9975   | 0.9975    | 0.9975 | 0.9975 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0