End of training

README.md

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+---
+license: apache-2.0
+base_model: hfl/chinese-macbert-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: chinese-macbert-base-climate-transition-physical-risk-prediction-1
+  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-macbert-base-climate-transition-physical-risk-prediction-1
+
+This model is a fine-tuned version of [hfl/chinese-macbert-base](https://huggingface.co/hfl/chinese-macbert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2265
+- Accuracy: 0.96
+
+## 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   | 0.4082          | 0.9      |
+| No log        | 2.0   | 114  | 0.2136          | 0.96     |
+| No log        | 3.0   | 171  | 0.1489          | 0.96     |
+| No log        | 4.0   | 228  | 0.2502          | 0.96     |
+| No log        | 5.0   | 285  | 0.2322          | 0.96     |
+| No log        | 6.0   | 342  | 0.2159          | 0.96     |
+| No log        | 7.0   | 399  | 0.2187          | 0.96     |
+| No log        | 8.0   | 456  | 0.2243          | 0.96     |
+| 0.0464        | 9.0   | 513  | 0.2266          | 0.96     |
+| 0.0464        | 10.0  | 570  | 0.2265          | 0.96     |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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