|
--- |
|
license: apache-2.0 |
|
base_model: hfl/chinese-bert-wwm-ext |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: chinese-bert-wwm-ext-finetuned-QA-b8-10 |
|
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. --> |
|
|
|
# chinese-bert-wwm-ext-finetuned-QA-b8-10 |
|
|
|
This model is a fine-tuned version of [hfl/chinese-bert-wwm-ext](https://huggingface.co/hfl/chinese-bert-wwm-ext) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.2029 |
|
|
|
## 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: 3e-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: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 0.7409 | 1.0 | 3460 | 0.6617 | |
|
| 0.4568 | 2.0 | 6920 | 0.7331 | |
|
| 0.2729 | 3.0 | 10380 | 0.9146 | |
|
| 0.1864 | 4.0 | 13840 | 1.2475 | |
|
| 0.1163 | 5.0 | 17300 | 1.3969 | |
|
| 0.0825 | 6.0 | 20760 | 1.8681 | |
|
| 0.0411 | 7.0 | 24220 | 2.0010 | |
|
| 0.0317 | 8.0 | 27680 | 2.1313 | |
|
| 0.0163 | 9.0 | 31140 | 2.2390 | |
|
| 0.0053 | 10.0 | 34600 | 2.2029 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0 |
|
- Pytorch 2.0.0 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.13.3 |
|
|
