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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: sms-spam-weighted |
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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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# sms-spam-weighted |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2336 |
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- Accuracy: 0.989 |
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- F1: 0.9575 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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| 0.0009 | 1.0 | 125 | 0.1323 | 0.987 | 0.9494 | |
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| 0.0034 | 2.0 | 250 | 0.1401 | 0.988 | 0.9531 | |
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| 0.0001 | 3.0 | 375 | 0.2087 | 0.991 | 0.9647 | |
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| 0.0001 | 4.0 | 500 | 0.2121 | 0.988 | 0.9538 | |
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| 0.0001 | 5.0 | 625 | 0.2129 | 0.988 | 0.9538 | |
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| 0.0 | 6.0 | 750 | 0.2242 | 0.99 | 0.9612 | |
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| 0.0 | 7.0 | 875 | 0.2285 | 0.989 | 0.9575 | |
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| 0.0 | 8.0 | 1000 | 0.2314 | 0.989 | 0.9575 | |
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| 0.0 | 9.0 | 1125 | 0.2330 | 0.989 | 0.9575 | |
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| 0.0 | 10.0 | 1250 | 0.2336 | 0.989 | 0.9575 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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