| | --- |
| | license: cc-by-4.0 |
| | base_model: hung200504/bert-24.1 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bert-24.2 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # bert-24.2 |
| |
|
| | This model is a fine-tuned version of [hung200504/bert-24.1](https://huggingface.co/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 |
| |
|
