---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: clean-chimp-516
  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. -->

# clean-chimp-516

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: 0.1555
- Hamming Loss: 0.0573
- Zero One Loss: 0.4100
- Jaccard Score: 0.3526
- Hamming Loss Optimised: 0.0556
- Hamming Loss Threshold: 0.5917
- Zero One Loss Optimised: 0.4075
- Zero One Loss Threshold: 0.5180
- Jaccard Score Optimised: 0.3191
- Jaccard Score Threshold: 0.2860

## 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: 3.651418456743375e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.956179116410945,0.8750477528228764) 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  | 0.1691          | 0.0649       | 0.5188        | 0.4740        | 0.064                  | 0.5111                 | 0.4938                  | 0.2835                  | 0.3735                  | 0.2151                  |
| No log        | 2.0   | 200  | 0.1540          | 0.061        | 0.4313        | 0.3716        | 0.0574                 | 0.5944                 | 0.4263                  | 0.4263                  | 0.3226                  | 0.2889                  |
| No log        | 3.0   | 300  | 0.1555          | 0.0573       | 0.4100        | 0.3526        | 0.0556                 | 0.5917                 | 0.4075                  | 0.5180                  | 0.3191                  | 0.2860                  |


### Framework versions

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