---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: fold_2
  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_2

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: 1.1221
- F1: 0.8632

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.4106        | 1.0   | 300  | 0.3857          | 0.8353 |
| 0.2705        | 2.0   | 600  | 0.3586          | 0.8615 |
| 0.1633        | 3.0   | 900  | 0.4721          | 0.8439 |
| 0.0804        | 4.0   | 1200 | 0.5829          | 0.8503 |
| 0.052         | 5.0   | 1500 | 0.7545          | 0.8536 |
| 0.0245        | 6.0   | 1800 | 1.0105          | 0.8581 |
| 0.0119        | 7.0   | 2100 | 0.9987          | 0.8609 |
| 0.006         | 8.0   | 2400 | 1.1393          | 0.8603 |
| 0.0041        | 9.0   | 2700 | 1.1023          | 0.8644 |
| 0.0015        | 10.0  | 3000 | 1.1221          | 0.8632 |


### Framework versions

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