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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: jun |
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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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# jun |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3480 |
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- Topology Accuracy: 0.9863 |
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- Service Accuracy: 0.9668 |
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- Combined Accuracy: 0.9766 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 15 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Topology Accuracy | Service Accuracy | Combined Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:----------------:|:-----------------:| |
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| 0.5891 | 1.0 | 96 | 0.5813 | 0.9629 | 0.7070 | 0.8350 | |
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| 0.5125 | 2.0 | 192 | 0.5057 | 0.9688 | 0.8027 | 0.8857 | |
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| 0.3715 | 3.0 | 288 | 0.3680 | 0.9863 | 0.9590 | 0.9727 | |
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| 0.3339 | 4.0 | 384 | 0.3538 | 0.9824 | 0.9609 | 0.9717 | |
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| 0.3204 | 5.0 | 480 | 0.3531 | 0.9863 | 0.9668 | 0.9766 | |
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| 0.3172 | 6.0 | 576 | 0.3500 | 0.9883 | 0.9648 | 0.9766 | |
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| 0.3035 | 7.0 | 672 | 0.3474 | 0.9844 | 0.9668 | 0.9756 | |
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| 0.302 | 8.0 | 768 | 0.3556 | 0.9863 | 0.9629 | 0.9746 | |
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| 0.3211 | 9.0 | 864 | 0.3522 | 0.9883 | 0.9668 | 0.9775 | |
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| 0.3023 | 10.0 | 960 | 0.3461 | 0.9902 | 0.9688 | 0.9795 | |
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| 0.3013 | 11.0 | 1056 | 0.3451 | 0.9883 | 0.9688 | 0.9785 | |
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| 0.3003 | 12.0 | 1152 | 0.3500 | 0.9902 | 0.9688 | 0.9795 | |
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| 0.3152 | 13.0 | 1248 | 0.3475 | 0.9883 | 0.9688 | 0.9785 | |
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| 0.3 | 14.0 | 1344 | 0.3474 | 0.9844 | 0.9688 | 0.9766 | |
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| 0.3029 | 15.0 | 1440 | 0.3480 | 0.9863 | 0.9668 | 0.9766 | |
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### Framework versions |
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- Transformers 4.56.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.0 |
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