|
---
|
|
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 |
