---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: debonair-croc-755
  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. -->

# debonair-croc-755

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: 0.1640
- Hamming Loss: 0.0599
- Zero One Loss: 0.4250
- Jaccard Score: 0.3659
- Hamming Loss Optimised: 0.0559
- Hamming Loss Threshold: 0.6538
- Zero One Loss Optimised: 0.4213
- Zero One Loss Threshold: 0.4694
- Jaccard Score Optimised: 0.3276
- Jaccard Score Threshold: 0.2898

## 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: 4.605041652136542e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.8554744545798426,0.9279755950737596) 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  | 0.1721          | 0.0612       | 0.515         | 0.4744        | 0.0606                 | 0.4645                 | 0.4663                  | 0.3499                  | 0.3707                  | 0.2446                  |
| No log        | 2.0   | 200  | 0.1585          | 0.0607       | 0.4275        | 0.3591        | 0.0574                 | 0.6868                 | 0.4225                  | 0.4869                  | 0.3309                  | 0.3556                  |
| No log        | 3.0   | 300  | 0.1640          | 0.0599       | 0.4250        | 0.3659        | 0.0559                 | 0.6538                 | 0.4213                  | 0.4694                  | 0.3276                  | 0.2898                  |


### Framework versions

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