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bert-24.2
This model is a fine-tuned version of hung200504/bert-24.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 11.4596
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: 1e-07
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.5094 | 0.09 | 5 | 11.5096 |
| 10.6572 | 0.18 | 10 | 11.5053 |
| 10.3097 | 0.27 | 15 | 11.5006 |
| 10.4711 | 0.36 | 20 | 11.4964 |
| 10.505 | 0.45 | 25 | 11.4927 |
| 10.5575 | 0.55 | 30 | 11.4890 |
| 9.9085 | 0.64 | 35 | 11.4854 |
| 10.5509 | 0.73 | 40 | 11.4820 |
| 10.1511 | 0.82 | 45 | 11.4788 |
| 10.0779 | 0.91 | 50 | 11.4760 |
| 9.8849 | 1.0 | 55 | 11.4735 |
| 10.1105 | 1.09 | 60 | 11.4713 |
| 10.2491 | 1.18 | 65 | 11.4692 |
| 10.4967 | 1.27 | 70 | 11.4671 |
| 10.0624 | 1.36 | 75 | 11.4654 |
| 10.5219 | 1.45 | 80 | 11.4642 |
| 10.2786 | 1.55 | 85 | 11.4627 |
| 10.2518 | 1.64 | 90 | 11.4618 |
| 10.1067 | 1.73 | 95 | 11.4609 |
| 10.36 | 1.82 | 100 | 11.4603 |
| 9.9273 | 1.91 | 105 | 11.4598 |
| 10.2964 | 2.0 | 110 | 11.4596 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
