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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: job-salary-classifier |
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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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# job-salary-classifier |
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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: 0.2494 |
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- F1: 0.6873 |
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- Roc Auc: 0.8006 |
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- Accuracy: 0.6494 |
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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: 2e-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 | F1 | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
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| No log | 1.0 | 39 | 0.3015 | 0.4057 | 0.6299 | 0.2792 | |
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| No log | 2.0 | 78 | 0.2932 | 0.5674 | 0.7286 | 0.5195 | |
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| No log | 3.0 | 117 | 0.2666 | 0.6494 | 0.7669 | 0.5714 | |
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| No log | 4.0 | 156 | 0.2524 | 0.7010 | 0.8084 | 0.6623 | |
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| No log | 5.0 | 195 | 0.2509 | 0.6990 | 0.8058 | 0.6558 | |
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| No log | 6.0 | 234 | 0.2497 | 0.7103 | 0.8130 | 0.6688 | |
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| No log | 7.0 | 273 | 0.2494 | 0.6873 | 0.8006 | 0.6494 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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