bert-base-chinese-finetuned-question-answering-8
This model is a fine-tuned version of bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0682
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6873 | 0.1842 | 500 | 1.1089 |
| 1.1046 | 0.3683 | 1000 | 0.9349 |
| 0.9793 | 0.5525 | 1500 | 0.9402 |
| 0.9477 | 0.7366 | 2000 | 0.8424 |
| 0.8951 | 0.9208 | 2500 | 0.8333 |
| 0.6411 | 1.1050 | 3000 | 0.9014 |
| 0.4946 | 1.2891 | 3500 | 0.9121 |
| 0.4887 | 1.4733 | 4000 | 0.8586 |
| 0.4875 | 1.6575 | 4500 | 0.9060 |
| 0.4483 | 1.8416 | 5000 | 0.7990 |
| 0.4079 | 2.0258 | 5500 | 0.9980 |
| 0.2337 | 2.2099 | 6000 | 1.0852 |
| 0.2342 | 2.3941 | 6500 | 1.0850 |
| 0.2239 | 2.5783 | 7000 | 1.0937 |
| 0.1853 | 2.7624 | 7500 | 1.1032 |
| 0.2009 | 2.9466 | 8000 | 1.0682 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for jazzson/bert-base-chinese-finetuned-question-answering-8
Base model
google-bert/bert-base-chinese