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---
library_name: peft
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: bright-roo-721
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. -->
# bright-roo-721
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: 0.3285
- Hamming Loss: 0.1111
- Zero One Loss: 0.9888
- Jaccard Score: 0.9888
- Hamming Loss Optimised: 0.1064
- Hamming Loss Threshold: 0.3442
- Zero One Loss Optimised: 0.7812
- Zero One Loss Threshold: 0.2207
- Jaccard Score Optimised: 0.7600
- Jaccard Score Threshold: 0.1740
## 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: 9.055163976709184e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9193487616565937,0.8674368975945644) 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 | 0.3464 | 0.1125 | 1.0 | 1.0 | 0.1123 | 0.6700 | 0.7987 | 0.2346 | 0.7682 | 0.2122 |
| No log | 2.0 | 200 | 0.3331 | 0.1118 | 0.995 | 0.995 | 0.109 | 0.3622 | 0.7825 | 0.2206 | 0.7645 | 0.1738 |
| No log | 3.0 | 300 | 0.3285 | 0.1111 | 0.9888 | 0.9888 | 0.1064 | 0.3442 | 0.7812 | 0.2207 | 0.7600 | 0.1740 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0 |