---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: popular-newt-164
  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. -->

# popular-newt-164

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: 0.1634
- Hamming Loss: 0.0581
- Zero One Loss: 0.4287
- Jaccard Score: 0.3757
- Hamming Loss Optimised: 0.0583
- Hamming Loss Threshold: 0.5931
- Zero One Loss Optimised: 0.4150
- Zero One Loss Threshold: 0.3577
- Jaccard Score Optimised: 0.3293
- Jaccard Score Threshold: 0.2227

## 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: 3.220762197755578e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9866282790391318,0.8034758511516535) 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  | 0.1844          | 0.0681       | 0.5375        | 0.5025        | 0.0676                 | 0.5092                 | 0.5025                  | 0.4265                  | 0.4224                  | 0.2570                  |
| No log        | 2.0   | 200  | 0.1663          | 0.0633       | 0.4387        | 0.3643        | 0.0587                 | 0.6431                 | 0.4375                  | 0.4758                  | 0.3283                  | 0.3124                  |
| No log        | 3.0   | 300  | 0.1634          | 0.0581       | 0.4287        | 0.3757        | 0.0583                 | 0.5931                 | 0.4150                  | 0.3577                  | 0.3293                  | 0.2227                  |


### Framework versions

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