---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: fold_3
  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. -->

# fold_3

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: 1.1954
- F1: 0.8447

## 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-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.425         | 1.0   | 300  | 0.4228          | 0.8290 |
| 0.265         | 2.0   | 600  | 0.4118          | 0.8407 |
| 0.1577        | 3.0   | 900  | 0.4843          | 0.8540 |
| 0.0773        | 4.0   | 1200 | 0.7007          | 0.8394 |
| 0.0406        | 5.0   | 1500 | 0.8548          | 0.8487 |
| 0.0192        | 6.0   | 1800 | 1.0277          | 0.8444 |
| 0.0184        | 7.0   | 2100 | 0.9923          | 0.8469 |
| 0.0068        | 8.0   | 2400 | 1.1065          | 0.8461 |
| 0.0049        | 9.0   | 2700 | 1.1675          | 0.8448 |
| 0.0014        | 10.0  | 3000 | 1.1954          | 0.8447 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0