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--- |
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license: apache-2.0 |
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base_model: distilbert-base-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/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: 0.0517 |
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- Precision: 0.9468 |
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- Recall: 0.9623 |
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- F1: 0.9545 |
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- Accuracy: 0.9908 |
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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: 7e-05 |
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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: 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: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.047 | 1.0 | 2180 | 0.0385 | 0.9149 | 0.9466 | 0.9305 | 0.9879 | |
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| 0.0308 | 2.0 | 4360 | 0.0350 | 0.9181 | 0.9521 | 0.9348 | 0.9887 | |
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| 0.0199 | 3.0 | 6540 | 0.0334 | 0.9333 | 0.9546 | 0.9438 | 0.9895 | |
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| 0.0112 | 4.0 | 8720 | 0.0377 | 0.9412 | 0.9598 | 0.9504 | 0.9901 | |
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| 0.0065 | 5.0 | 10900 | 0.0417 | 0.9373 | 0.9619 | 0.9495 | 0.9903 | |
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| 0.0033 | 6.0 | 13080 | 0.0445 | 0.9464 | 0.9611 | 0.9537 | 0.9907 | |
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| 0.0014 | 7.0 | 15260 | 0.0517 | 0.9468 | 0.9623 | 0.9545 | 0.9908 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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