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job-listing-filtering-model
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1992
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4639 | 1.55 | 50 | 0.4343 |
| 0.407 | 3.12 | 100 | 0.3589 |
| 0.3459 | 4.68 | 150 | 0.3110 |
| 0.2871 | 6.25 | 200 | 0.2604 |
| 0.1966 | 7.8 | 250 | 0.2004 |
| 0.0994 | 9.37 | 300 | 0.1766 |
| 0.0961 | 10.92 | 350 | 0.2007 |
| 0.0954 | 12.49 | 400 | 0.1716 |
| 0.0498 | 14.06 | 450 | 0.1642 |
| 0.0419 | 15.62 | 500 | 0.1811 |
| 0.0232 | 17.18 | 550 | 0.1872 |
| 0.0146 | 18.74 | 600 | 0.1789 |
| 0.0356 | 20.31 | 650 | 0.1984 |
| 0.0325 | 21.86 | 700 | 0.1845 |
| 0.0381 | 23.43 | 750 | 0.1994 |
| 0.0063 | 24.98 | 800 | 0.1992 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 2.0.0
- Tokenizers 0.11.6
