---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: trusting-pig-816
  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. -->

# trusting-pig-816

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: 0.1592
- Hamming Loss: 0.0565
- Zero One Loss: 0.4150
- Jaccard Score: 0.3578
- Hamming Loss Optimised: 0.0563
- Hamming Loss Threshold: 0.6142
- Zero One Loss Optimised: 0.405
- Zero One Loss Threshold: 0.4535
- Jaccard Score Optimised: 0.3293
- Jaccard Score Threshold: 0.2819

## 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: 2.6914757226504776e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9666943806564104,0.8490809509863677) 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  | 0.1833          | 0.0671       | 0.5188        | 0.4833        | 0.0656                 | 0.4303                 | 0.4663                  | 0.3399                  | 0.3971                  | 0.2889                  |
| No log        | 2.0   | 200  | 0.1570          | 0.0581       | 0.4337        | 0.3803        | 0.057                  | 0.5935                 | 0.4275                  | 0.4301                  | 0.3281                  | 0.2506                  |
| No log        | 3.0   | 300  | 0.1592          | 0.0565       | 0.4150        | 0.3578        | 0.0563                 | 0.6142                 | 0.405                   | 0.4535                  | 0.3293                  | 0.2819                  |


### Framework versions

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