metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: debonair-croc-755
results: []
debonair-croc-755
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: 0.1640
- Hamming Loss: 0.0599
- Zero One Loss: 0.4250
- Jaccard Score: 0.3659
- Hamming Loss Optimised: 0.0559
- Hamming Loss Threshold: 0.6538
- Zero One Loss Optimised: 0.4213
- Zero One Loss Threshold: 0.4694
- Jaccard Score Optimised: 0.3276
- Jaccard Score Threshold: 0.2898
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: 4.605041652136542e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.8554744545798426,0.9279755950737596) 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 | 0.1721 | 0.0612 | 0.515 | 0.4744 | 0.0606 | 0.4645 | 0.4663 | 0.3499 | 0.3707 | 0.2446 |
| No log | 2.0 | 200 | 0.1585 | 0.0607 | 0.4275 | 0.3591 | 0.0574 | 0.6868 | 0.4225 | 0.4869 | 0.3309 | 0.3556 |
| No log | 3.0 | 300 | 0.1640 | 0.0599 | 0.4250 | 0.3659 | 0.0559 | 0.6538 | 0.4213 | 0.4694 | 0.3276 | 0.2898 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0