End of training

README.md

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+---
+library_name: transformers
+base_model: bert-base-chinese
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-base-chinese-finetuned-paragraph_extraction-retrain3
+  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. -->
+
+# bert-base-chinese-finetuned-paragraph_extraction-retrain3
+
+This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2350
+- Accuracy: 0.9538
+
+## 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: 3e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Accuracy |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|
+| 0.1994        | 0.1842 | 2000  | 0.2304          | 0.9395   |
+| 0.2139        | 0.3684 | 4000  | 0.3441          | 0.9242   |
+| 0.2433        | 0.5526 | 6000  | 0.2450          | 0.9528   |
+| 0.1658        | 0.7369 | 8000  | 0.1913          | 0.9548   |
+| 0.1741        | 0.9211 | 10000 | 0.2350          | 0.9538   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1