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--- |
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base_model: hfl/chinese-roberta-wwm-ext |
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library_name: transformers |
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license: apache-2.0 |
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metrics: |
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- accuracy |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: chinese-roberta-climate-related-prediction-a1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# chinese-roberta-climate-related-prediction-a1 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2658 |
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- Accuracy: 0.97 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 175 | 0.1063 | 0.98 | |
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| No log | 2.0 | 350 | 0.2295 | 0.96 | |
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| 0.0553 | 3.0 | 525 | 0.1487 | 0.97 | |
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| 0.0553 | 4.0 | 700 | 0.2068 | 0.97 | |
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| 0.0553 | 5.0 | 875 | 0.2471 | 0.97 | |
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| 0.0055 | 6.0 | 1050 | 0.2591 | 0.97 | |
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| 0.0055 | 7.0 | 1225 | 0.2614 | 0.97 | |
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| 0.0055 | 8.0 | 1400 | 0.2638 | 0.97 | |
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| 0.0001 | 9.0 | 1575 | 0.2654 | 0.97 | |
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| 0.0001 | 10.0 | 1750 | 0.2658 | 0.97 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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