End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: hfl/chinese-roberta-wwm-ext
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: chinese-roberta-climate-transition-physical-risk-prediction-v2
+  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-transition-physical-risk-prediction-v2
+
+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: 0.1642
+- Accuracy: 0.98
+
+## 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: 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   | 57   | 0.0004          | 1.0      |
+| No log        | 2.0   | 114  | 0.0004          | 1.0      |
+| No log        | 3.0   | 171  | 0.0431          | 0.98     |
+| No log        | 4.0   | 228  | 0.1605          | 0.98     |
+| No log        | 5.0   | 285  | 0.1491          | 0.98     |
+| No log        | 6.0   | 342  | 0.1602          | 0.98     |
+| No log        | 7.0   | 399  | 0.1613          | 0.98     |
+| No log        | 8.0   | 456  | 0.1631          | 0.98     |
+| 0.0106        | 9.0   | 513  | 0.1639          | 0.98     |
+| 0.0106        | 10.0  | 570  | 0.1642          | 0.98     |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

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