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bert-cvs-estimation-years-experience
This model is a fine-tuned version of jhonparra18/bert-base-cased-cv-studio_name-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 9.4494
- Mse: 9.4494
- Mae: 2.0686
- R2: 0.4131
- Accuracy: 0.2586
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 10.34 | 300 | 10.5131 | 10.5131 | 2.2140 | 0.3470 | 0.2759 |
| 3.3802 | 20.69 | 600 | 9.1915 | 9.1915 | 2.0780 | 0.4291 | 0.2759 |
| 3.3802 | 31.03 | 900 | 8.8261 | 8.8261 | 1.9359 | 0.4518 | 0.2931 |
| 0.1613 | 41.38 | 1200 | 9.4494 | 9.4494 | 2.0686 | 0.4131 | 0.2586 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1
