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update model card README.md
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README.md
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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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