metadata
library_name: peft
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: intelligent-vole-860
results: []
intelligent-vole-860
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4774
- Hamming Loss: 0.1452
- Zero One Loss: 0.9275
- Jaccard Score: 0.9058
- Hamming Loss Optimised: 0.1123
- Hamming Loss Threshold: 0.7112
- Zero One Loss Optimised: 0.905
- Zero One Loss Threshold: 0.4615
- Jaccard Score Optimised: 0.8303
- Jaccard Score Threshold: 0.4021
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: 1.4188771076578358e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9321315533118193,0.8355607204472777) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
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 | 0.5336 | 0.1984 | 0.9287 | 0.8619 | 0.1123 | 0.7649 | 0.9175 | 0.5176 | 0.8429 | 0.4502 |
| No log | 2.0 | 200 | 0.4774 | 0.1452 | 0.9275 | 0.9058 | 0.1123 | 0.7112 | 0.905 | 0.4615 | 0.8303 | 0.4021 |
Framework versions
- PEFT 0.13.2
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0