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--- |
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license: apache-2.0 |
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base_model: distilbert/distilbert-base-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: category-1-delivery-cancellation-distilbert-base-cased-v1 |
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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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# category-1-delivery-cancellation-distilbert-base-cased-v1 |
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This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co/distilbert/distilbert-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2696 |
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- Accuracy: 0.9397 |
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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: 2e-05 |
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- train_batch_size: 60 |
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- eval_batch_size: 60 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 334 | 0.2828 | 0.8999 | |
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| 0.2294 | 2.0 | 668 | 0.2118 | 0.9283 | |
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| 0.1448 | 3.0 | 1002 | 0.1580 | 0.9446 | |
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| 0.1448 | 4.0 | 1336 | 0.2625 | 0.9156 | |
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| 0.1013 | 5.0 | 1670 | 0.2521 | 0.9264 | |
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| 0.0731 | 6.0 | 2004 | 0.2462 | 0.9356 | |
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| 0.0731 | 7.0 | 2338 | 0.2330 | 0.9405 | |
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| 0.0497 | 8.0 | 2672 | 0.2507 | 0.9393 | |
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| 0.0389 | 9.0 | 3006 | 0.2696 | 0.9386 | |
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| 0.0389 | 10.0 | 3340 | 0.2696 | 0.9397 | |
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### Framework versions |
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- Transformers 4.43.2 |
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- Pytorch 2.3.0 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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