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---
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library_name: transformers
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base_model: huawei-noah/TinyBERT_General_4L_312D
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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: fine_tuned_spam_model_2
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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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# fine_tuned_spam_model_2
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This model is a fine-tuned version of [huawei-noah/TinyBERT_General_4L_312D](https://huggingface.co/huawei-noah/TinyBERT_General_4L_312D) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0182
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- Accuracy: 1.0
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 3
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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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| 0.0743 | 1.0 | 125 | 0.0591 | 1.0 |
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| 0.0262 | 2.0 | 250 | 0.0230 | 1.0 |
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| 0.0201 | 3.0 | 375 | 0.0182 | 1.0 |
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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.6.0+cpu
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- Datasets 3.3.2
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- Tokenizers 0.21.1
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