| --- |
| base_model: hfl/chinese-roberta-wwm-ext |
| library_name: transformers |
| license: apache-2.0 |
| metrics: |
| - accuracy |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: chinese-roberta-climate-related-prediction-vv2 |
| 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-roberta-climate-related-prediction-vv2 |
|
|
| This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1057 |
| - Accuracy: 0.99 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-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 | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 175 | 0.2258 | 0.95 | |
| | No log | 2.0 | 350 | 0.1581 | 0.98 | |
| | 0.0218 | 3.0 | 525 | 0.0911 | 0.99 | |
| | 0.0218 | 4.0 | 700 | 0.0941 | 0.99 | |
| | 0.0218 | 5.0 | 875 | 0.0970 | 0.99 | |
| | 0.0 | 6.0 | 1050 | 0.0993 | 0.99 | |
| | 0.0 | 7.0 | 1225 | 0.1016 | 0.99 | |
| | 0.0 | 8.0 | 1400 | 0.1017 | 0.99 | |
| | 0.0008 | 9.0 | 1575 | 0.1054 | 0.99 | |
| | 0.0008 | 10.0 | 1750 | 0.1057 | 0.99 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.44.2 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.0.0 |
| - Tokenizers 0.19.1 |
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|
