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---
library_name: peft
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: bustling-mule-472
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. -->
# bustling-mule-472
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: 0.5763
- Hamming Loss: 0.2622
- Zero One Loss: 0.9788
- Jaccard Score: 0.8576
- Hamming Loss Optimised: 0.1125
- Hamming Loss Threshold: 0.7916
- Zero One Loss Optimised: 0.9313
- Zero One Loss Threshold: 0.6047
- Jaccard Score Optimised: 0.8674
- Jaccard Score Threshold: 0.4160
## 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: 3.0326562164596325e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.8120994730940104,0.9704977891667916) 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 | 0.6296 | 0.3405 | 0.9988 | 0.8635 | 0.1124 | 0.8315 | 0.9263 | 0.6502 | 0.8573 | 0.5325 |
| No log | 2.0 | 200 | 0.6005 | 0.294 | 0.9862 | 0.8557 | 0.1123 | 0.8430 | 0.9437 | 0.5930 | 0.8542 | 0.5052 |
| No log | 3.0 | 300 | 0.5825 | 0.2704 | 0.98 | 0.8577 | 0.1124 | 0.8053 | 0.9300 | 0.5977 | 0.8538 | 0.4886 |
| No log | 4.0 | 400 | 0.5763 | 0.2622 | 0.9788 | 0.8576 | 0.1125 | 0.7916 | 0.9313 | 0.6047 | 0.8674 | 0.4160 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0 |