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--- |
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license: apache-2.0 |
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base_model: distilbert/distilbert-base-uncased-distilled-squad |
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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-uncased-distilled-squad-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-uncased-distilled-squad-v1 |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert/distilbert-base-uncased-distilled-squad) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2431 |
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- Accuracy: 0.9426 |
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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: 70 |
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- eval_batch_size: 70 |
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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 | 286 | 0.3740 | 0.8601 | |
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| 0.2503 | 2.0 | 572 | 0.1944 | 0.9300 | |
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| 0.2503 | 3.0 | 858 | 0.1716 | 0.9375 | |
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| 0.1422 | 4.0 | 1144 | 0.1664 | 0.9413 | |
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| 0.1422 | 5.0 | 1430 | 0.2271 | 0.9291 | |
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| 0.0941 | 6.0 | 1716 | 0.2533 | 0.9239 | |
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| 0.0637 | 7.0 | 2002 | 0.2018 | 0.9427 | |
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| 0.0637 | 8.0 | 2288 | 0.2064 | 0.9482 | |
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| 0.0408 | 9.0 | 2574 | 0.2494 | 0.9408 | |
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| 0.0408 | 10.0 | 2860 | 0.2431 | 0.9426 | |
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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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