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--- |
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license: apache-2.0 |
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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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- f1 |
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model-index: |
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- name: distilbert-base-uncased-finetuned-tickets |
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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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# distilbert-base-uncased-finetuned-tickets |
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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: 0.4542 |
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- Accuracy: 0.869 |
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- F1: 0.8626 |
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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: 64 |
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- eval_batch_size: 64 |
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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 | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 2.2847 | 1.0 | 110 | 1.3868 | 0.681 | 0.6215 | |
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| 1.1164 | 2.0 | 220 | 0.8190 | 0.804 | 0.7759 | |
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| 0.7155 | 3.0 | 330 | 0.6261 | 0.833 | 0.8127 | |
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| 0.5457 | 4.0 | 440 | 0.5272 | 0.859 | 0.8464 | |
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| 0.4425 | 5.0 | 550 | 0.4858 | 0.868 | 0.8586 | |
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| 0.3716 | 6.0 | 660 | 0.4751 | 0.868 | 0.8606 | |
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| 0.3212 | 7.0 | 770 | 0.4630 | 0.865 | 0.8573 | |
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| 0.2819 | 8.0 | 880 | 0.4587 | 0.874 | 0.8681 | |
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| 0.2709 | 9.0 | 990 | 0.4538 | 0.874 | 0.8676 | |
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| 0.2375 | 10.0 | 1100 | 0.4542 | 0.869 | 0.8626 | |
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### Framework versions |
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- Transformers 4.27.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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