|
---
|
|
library_name: transformers
|
|
license: apache-2.0
|
|
base_model: answerdotai/ModernBERT-base
|
|
tags:
|
|
- generated_from_trainer
|
|
model-index:
|
|
- name: honorable-shrew-498
|
|
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. -->
|
|
|
|
# honorable-shrew-498
|
|
|
|
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: 0.1625
|
|
- Hamming Loss: 0.055
|
|
- Zero One Loss: 0.3725
|
|
- Jaccard Score: 0.3189
|
|
- Hamming Loss Optimised: 0.0541
|
|
- Hamming Loss Threshold: 0.7220
|
|
- Zero One Loss Optimised: 0.3712
|
|
- Zero One Loss Threshold: 0.4879
|
|
- Jaccard Score Optimised: 0.2997
|
|
- Jaccard Score Threshold: 0.2962
|
|
|
|
## 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: 8.935925952705373e-05
|
|
- train_batch_size: 32
|
|
- eval_batch_size: 32
|
|
- seed: 2024
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.8778562665922138,0.8720892866629456) 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 | 0.1595 | 0.0571 | 0.4600 | 0.4159 | 0.0559 | 0.4890 | 0.4225 | 0.3826 | 0.3403 | 0.2310 |
|
|
| No log | 2.0 | 200 | 0.1476 | 0.0564 | 0.3975 | 0.3373 | 0.0551 | 0.5746 | 0.3875 | 0.4361 | 0.2977 | 0.2865 |
|
|
| No log | 3.0 | 300 | 0.1625 | 0.055 | 0.3725 | 0.3189 | 0.0541 | 0.7220 | 0.3712 | 0.4879 | 0.2997 | 0.2962 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.48.0.dev0
|
|
- Pytorch 2.5.1+cu124
|
|
- Datasets 3.1.0
|
|
- Tokenizers 0.21.0
|
|
|
