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

# output-model

This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1590
- F1: 0.3833

## 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: 8
- eval_batch_size: 8
- seed: 52
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1     |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.4165        | 0.1667 | 50   | 0.3038          | 0.0014 |
| 0.3627        | 0.3333 | 100  | 0.2643          | 0.0043 |
| 0.2776        | 0.5    | 150  | 0.2914          | 0.0146 |
| 0.229         | 0.6667 | 200  | 0.1869          | 0.1883 |
| 0.1945        | 0.8333 | 250  | 0.1671          | 0.2568 |
| 0.1574        | 1.0    | 300  | 0.1592          | 0.3238 |
| 0.1056        | 1.1667 | 350  | 0.1710          | 0.4048 |
| 0.1117        | 1.3333 | 400  | 0.1657          | 0.3649 |
| 0.117         | 1.5    | 450  | 0.1692          | 0.3792 |
| 0.1176        | 1.6667 | 500  | 0.1604          | 0.3802 |
| 0.0972        | 1.8333 | 550  | 0.1705          | 0.3515 |
| 0.1086        | 2.0    | 600  | 0.1590          | 0.3833 |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1