---
library_name: peft
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: bright-roo-721
  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. -->

# bright-roo-721

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: 0.3285
- Hamming Loss: 0.1111
- Zero One Loss: 0.9888
- Jaccard Score: 0.9888
- Hamming Loss Optimised: 0.1064
- Hamming Loss Threshold: 0.3442
- Zero One Loss Optimised: 0.7812
- Zero One Loss Threshold: 0.2207
- Jaccard Score Optimised: 0.7600
- Jaccard Score Threshold: 0.1740

## 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: 9.055163976709184e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9193487616565937,0.8674368975945644) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Hamming Loss | Zero One Loss | Jaccard Score | Hamming Loss Optimised | Hamming Loss Threshold | Zero One Loss Optimised | Zero One Loss Threshold | Jaccard Score Optimised | Jaccard Score Threshold |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-------------:|:-------------:|:----------------------:|:----------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:-----------------------:|
| No log        | 1.0   | 100  | 0.3464          | 0.1125       | 1.0           | 1.0           | 0.1123                 | 0.6700                 | 0.7987                  | 0.2346                  | 0.7682                  | 0.2122                  |
| No log        | 2.0   | 200  | 0.3331          | 0.1118       | 0.995         | 0.995         | 0.109                  | 0.3622                 | 0.7825                  | 0.2206                  | 0.7645                  | 0.1738                  |
| No log        | 3.0   | 300  | 0.3285          | 0.1111       | 0.9888        | 0.9888        | 0.1064                 | 0.3442                 | 0.7812                  | 0.2207                  | 0.7600                  | 0.1740                  |


### Framework versions

- PEFT 0.13.2
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0