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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: bustling-mule-472
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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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# bustling-mule-472 |
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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: 0.5763 |
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- Hamming Loss: 0.2622 |
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- Zero One Loss: 0.9788 |
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- Jaccard Score: 0.8576 |
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- Hamming Loss Optimised: 0.1125 |
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- Hamming Loss Threshold: 0.7916 |
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- Zero One Loss Optimised: 0.9313 |
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- Zero One Loss Threshold: 0.6047 |
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- Jaccard Score Optimised: 0.8674 |
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- Jaccard Score Threshold: 0.4160 |
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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: 3.0326562164596325e-06 |
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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=(0.8120994730940104,0.9704977891667916) 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 | 0.6296 | 0.3405 | 0.9988 | 0.8635 | 0.1124 | 0.8315 | 0.9263 | 0.6502 | 0.8573 | 0.5325 | |
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| No log | 2.0 | 200 | 0.6005 | 0.294 | 0.9862 | 0.8557 | 0.1123 | 0.8430 | 0.9437 | 0.5930 | 0.8542 | 0.5052 | |
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| No log | 3.0 | 300 | 0.5825 | 0.2704 | 0.98 | 0.8577 | 0.1124 | 0.8053 | 0.9300 | 0.5977 | 0.8538 | 0.4886 | |
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| No log | 4.0 | 400 | 0.5763 | 0.2622 | 0.9788 | 0.8576 | 0.1125 | 0.7916 | 0.9313 | 0.6047 | 0.8674 | 0.4160 | |
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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 |
