---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: fold_0
  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_0

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: 0.9358
- F1: 0.8578

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7289        | 1.0   | 188  | 0.4268          | 0.8239 |
| 0.3104        | 2.0   | 376  | 0.3828          | 0.8580 |
| 0.1417        | 3.0   | 564  | 0.4563          | 0.8522 |
| 0.0758        | 4.0   | 752  | 0.5187          | 0.8592 |
| 0.0462        | 5.0   | 940  | 0.7985          | 0.8497 |
| 0.0289        | 6.0   | 1128 | 0.7168          | 0.8545 |
| 0.0152        | 7.0   | 1316 | 1.0003          | 0.8456 |
| 0.006         | 8.0   | 1504 | 0.9324          | 0.8575 |
| 0.0019        | 9.0   | 1692 | 0.9218          | 0.8618 |
| 0.0022        | 10.0  | 1880 | 0.9358          | 0.8578 |


### Framework versions

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