| ---
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| library_name: transformers
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| license: mit
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| base_model: microsoft/deberta-v3-xsmall
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| tags:
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| - generated_from_trainer
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| model-index:
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| - name: adaptable-fly-271
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| results: []
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| ---
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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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|
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| # adaptable-fly-271
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| This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) on the None dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 0.1619
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| - Hamming Loss: 0.0439
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| - Zero One Loss: 0.886
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| - Jaccard Score: 0.8648
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| - Hamming Loss Optimised: 0.0437
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| - Hamming Loss Threshold: 0.5933
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| - Zero One Loss Optimised: 0.839
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| - Zero One Loss Threshold: 0.1736
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| - Jaccard Score Optimised: 0.7401
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| - Jaccard Score Threshold: 0.1334
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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: 5.379556445396376e-05
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| - train_batch_size: 20
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| - eval_batch_size: 20
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| - seed: 2024
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| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 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 | 160 | 0.1853 | 0.0497 | 1.0 | 1.0 | 0.0497 | 0.9000 | 1.0 | 0.9000 | 1.0 | 0.9000 |
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| | No log | 2.0 | 320 | 0.1830 | 0.0497 | 1.0 | 1.0 | 0.0497 | 0.9000 | 1.0 | 0.9000 | 1.0 | 0.9000 |
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| | No log | 3.0 | 480 | 0.1690 | 0.0442 | 0.8738 | 0.8604 | 0.0456 | 0.4236 | 0.8588 | 0.2889 | 0.8410 | 0.2889 |
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| | 0.2169 | 4.0 | 640 | 0.1621 | 0.0441 | 0.8712 | 0.8560 | 0.0438 | 0.5821 | 0.8225 | 0.1746 | 0.7466 | 0.1429 |
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| ### Framework versions
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| - Transformers 4.46.2
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| - Pytorch 2.5.1+cu118
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| - Datasets 3.1.0
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| - Tokenizers 0.20.3
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