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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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- precision
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- recall
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- f1
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model-index:
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- name: HamSpamBERT
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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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# HamSpamBERT
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0072
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- Accuracy: 0.9991
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- Precision: 1.0
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- Recall: 0.9933
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- F1: 0.9966
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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: 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 | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 1.0 | 279 | 0.0492 | 0.9901 | 1.0 | 0.9262 | 0.9617 |
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| 0.0635 | 2.0 | 558 | 0.0117 | 0.9982 | 1.0 | 0.9866 | 0.9932 |
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| 0.0635 | 3.0 | 837 | 0.0120 | 0.9982 | 0.9933 | 0.9933 | 0.9933 |
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| 0.0138 | 4.0 | 1116 | 0.0072 | 0.9991 | 1.0 | 0.9933 | 0.9966 |
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| 0.0138 | 5.0 | 1395 | 0.0086 | 0.9982 | 0.9933 | 0.9933 | 0.9933 |
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| 0.0007 | 6.0 | 1674 | 0.0090 | 0.9982 | 0.9933 | 0.9933 | 0.9933 |
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| 0.0007 | 7.0 | 1953 | 0.0091 | 0.9982 | 0.9933 | 0.9933 | 0.9933 |
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### Framework versions
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- Transformers 4.30.0
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.13.3
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