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bert-base-chinese-finetuned-paragraph_extraction-retrain3
jazzson/bert-base-chinese-finetuned-paragraph_extraction-retrain3
bert-base-chinese-finetuned-paragraph_extraction-retrain3 is a multiple choice model from jazzson. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Oct 7, 2024
- Updated
- Oct 7, 2024
- SHA
- 05482ea9
Base models
Model card
From the Hugging Face model README
<!-- 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-base-chinese-finetuned-paragraph_extraction-retrain3
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: 0.2350
- Accuracy: 0.9538
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1994 | 0.1842 | 2000 | 0.2304 | 0.9395 |
| 0.2139 | 0.3684 | 4000 | 0.3441 | 0.9242 |
| 0.2433 | 0.5526 | 6000 | 0.2450 | 0.9528 |
| 0.1658 | 0.7369 | 8000 | 0.1913 | 0.9548 |
| 0.1741 | 0.9211 | 10000 | 0.2350 | 0.9538 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- Created
- Oct 7, 2024
- Updated
- Oct 7, 2024