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---
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library_name: peft
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license: apache-2.0
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base_model: answerdotai/ModernBERT-base
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tags:
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- generated_from_trainer
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model-index:
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- name: whimsical-crane-88
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# whimsical-crane-88 |
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3017 |
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- Hamming Loss: 0.1008 |
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- Zero One Loss: 0.8638 |
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- Jaccard Score: 0.8619 |
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- Hamming Loss Optimised: 0.1005 |
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- Hamming Loss Threshold: 0.4669 |
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- Zero One Loss Optimised: 0.7662 |
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- Zero One Loss Threshold: 0.2371 |
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- Jaccard Score Optimised: 0.7019 |
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- Jaccard Score Threshold: 0.1424 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5.6029632367762424e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 2024 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.8378996868939299,0.8949526992950398) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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### Training results |
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| 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 | |
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|:-------------:|:-----:|:----:|:---------------:|:------------:|:-------------:|:-------------:|:----------------------:|:----------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:-----------------------:| |
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| No log | 1.0 | 100 | 0.3418 | 0.1123 | 0.99 | 0.99 | 0.1121 | 0.5223 | 0.8287 | 0.2215 | 0.7749 | 0.1699 | |
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| No log | 2.0 | 200 | 0.3238 | 0.1098 | 0.965 | 0.9644 | 0.1069 | 0.4149 | 0.7863 | 0.2162 | 0.7400 | 0.1647 | |
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| No log | 3.0 | 300 | 0.3082 | 0.1021 | 0.8775 | 0.8762 | 0.1014 | 0.4735 | 0.7688 | 0.2369 | 0.7141 | 0.1721 | |
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| No log | 4.0 | 400 | 0.3017 | 0.1008 | 0.8638 | 0.8619 | 0.1005 | 0.4669 | 0.7662 | 0.2371 | 0.7019 | 0.1424 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.21.0 |
