End of training

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-base-chinese-finetuned-swag-8B
+  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-swag-8B
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3345
+- Accuracy: 0.9568
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.091         | 1.0   | 2714 | 0.2826          | 0.9482   |
+| 0.0612        | 2.0   | 5428 | 0.2978          | 0.9558   |
+| 0.0171        | 3.0   | 8142 | 0.3345          | 0.9568   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 1.13.1+cu116
+- Datasets 2.14.5
+- Tokenizers 0.14.1

pytorch_model.bin

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