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mbti-career
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3516
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6547 | 0.59 | 100 | 0.6169 |
| 0.5967 | 1.18 | 200 | 0.5943 |
| 0.5872 | 1.76 | 300 | 0.5696 |
| 0.554 | 2.35 | 400 | 0.5287 |
| 0.5041 | 2.94 | 500 | 0.4890 |
| 0.4773 | 3.53 | 600 | 0.4895 |
| 0.4691 | 4.12 | 700 | 0.4840 |
| 0.4253 | 4.71 | 800 | 0.4573 |
| 0.4002 | 5.29 | 900 | 0.4240 |
| 0.3813 | 5.88 | 1000 | 0.4031 |
| 0.3561 | 6.47 | 1100 | 0.3943 |
| 0.3359 | 7.06 | 1200 | 0.3864 |
| 0.3126 | 7.65 | 1300 | 0.3889 |
| 0.2948 | 8.24 | 1400 | 0.3869 |
| 0.2816 | 8.82 | 1500 | 0.3788 |
| 0.2522 | 9.41 | 1600 | 0.3891 |
| 0.2451 | 10.0 | 1700 | 0.3849 |
| 0.2148 | 10.59 | 1800 | 0.3784 |
| 0.2132 | 11.18 | 1900 | 0.3716 |
| 0.1882 | 11.76 | 2000 | 0.3659 |
| 0.1754 | 12.35 | 2100 | 0.3737 |
| 0.169 | 12.94 | 2200 | 0.3711 |
| 0.1559 | 13.53 | 2300 | 0.3672 |
| 0.1537 | 14.12 | 2400 | 0.3391 |
| 0.1427 | 14.71 | 2500 | 0.3516 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
