---
library_name: peft
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: defiant-crow-853
  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. -->

# defiant-crow-853

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: 0.2274
- Hamming Loss: 0.0824
- Zero One Loss: 0.6800
- Jaccard Score: 0.6658
- Hamming Loss Optimised: 0.0816
- Hamming Loss Threshold: 0.4853
- Zero One Loss Optimised: 0.6275
- Zero One Loss Threshold: 0.2569
- Jaccard Score Optimised: 0.5322
- Jaccard Score Threshold: 0.2068

## 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: 5.381320896322974e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.8546741355228837,0.9482717959895227) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4

### 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  | 0.3297          | 0.1116       | 0.9938        | 0.9931        | 0.1092                 | 0.3475                 | 0.7925                  | 0.2159                  | 0.7520                  | 0.1773                  |
| No log        | 2.0   | 200  | 0.2713          | 0.0934       | 0.8           | 0.7944        | 0.0912                 | 0.4406                 | 0.7163                  | 0.2528                  | 0.6303                  | 0.1708                  |
| No log        | 3.0   | 300  | 0.2361          | 0.0846       | 0.7037        | 0.6927        | 0.0839                 | 0.4485                 | 0.6375                  | 0.2889                  | 0.5551                  | 0.2112                  |
| No log        | 4.0   | 400  | 0.2274          | 0.0824       | 0.6800        | 0.6658        | 0.0816                 | 0.4853                 | 0.6275                  | 0.2569                  | 0.5322                  | 0.2068                  |


### Framework versions

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