job_classifier_model_v2
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the Job dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0491
- Accuracy: 0.9942
- Precision: 0.9930
- Recall: 0.9953
- F1: 0.9942
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
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
Accuracy |
Precision |
Recall |
F1 |
| 0.1122 |
1.0 |
859 |
0.0529 |
0.9907 |
0.9930 |
0.9883 |
0.9907 |
| 0.0325 |
2.0 |
1718 |
0.0338 |
0.9953 |
0.9930 |
0.9977 |
0.9953 |
| 0.0088 |
3.0 |
2577 |
0.0491 |
0.9942 |
0.9930 |
0.9953 |
0.9942 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
