benjaminrio/job-salary-classifier

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: job-salary-classifier
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# job-salary-classifier
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2494
+- F1: 0.6873
+- Roc Auc: 0.8006
+- Accuracy: 0.6494
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| No log        | 1.0   | 39   | 0.3015          | 0.4057 | 0.6299  | 0.2792   |
+| No log        | 2.0   | 78   | 0.2932          | 0.5674 | 0.7286  | 0.5195   |
+| No log        | 3.0   | 117  | 0.2666          | 0.6494 | 0.7669  | 0.5714   |
+| No log        | 4.0   | 156  | 0.2524          | 0.7010 | 0.8084  | 0.6623   |
+| No log        | 5.0   | 195  | 0.2509          | 0.6990 | 0.8058  | 0.6558   |
+| No log        | 6.0   | 234  | 0.2497          | 0.7103 | 0.8130  | 0.6688   |
+| No log        | 7.0   | 273  | 0.2494          | 0.6873 | 0.8006  | 0.6494   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0