End of training
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README.md
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---
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base_model: bert-base-chinese
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: bert-base-chinese-climate-risk-opportunity-prediction-vv2
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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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# bert-base-chinese-climate-risk-opportunity-prediction-vv2
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This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0868
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- Accuracy: 0.99
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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 | 113 | 0.1025 | 0.98 |
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| No log | 2.0 | 226 | 0.0124 | 0.99 |
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| No log | 3.0 | 339 | 0.0854 | 0.99 |
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| No log | 4.0 | 452 | 0.0849 | 0.99 |
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| 0.0126 | 5.0 | 565 | 0.0844 | 0.99 |
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| 0.0126 | 6.0 | 678 | 0.0855 | 0.99 |
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| 0.0126 | 7.0 | 791 | 0.0858 | 0.99 |
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| 0.0126 | 8.0 | 904 | 0.0862 | 0.99 |
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| 0.0 | 9.0 | 1017 | 0.0866 | 0.99 |
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| 0.0 | 10.0 | 1130 | 0.0868 | 0.99 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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