End of training

README.md

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+---
+license: gpl-3.0
+base_model: ckiplab/bert-base-chinese
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-base-chinese-finetuned-QA-b8
+  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-QA-b8
+
+This model is a fine-tuned version of [ckiplab/bert-base-chinese](https://huggingface.co/ckiplab/bert-base-chinese) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7119
+
+## 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
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9291        | 1.0   | 864  | 0.6085          |
+| 0.3699        | 2.0   | 1729 | 0.6280          |
+| 0.2003        | 3.0   | 2592 | 0.7119          |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 1.13.1+cu116
+- Datasets 2.14.5
+- Tokenizers 0.14.1

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