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-wwm-ext_lr_3e-06_batch_8_epoch_1_model
+  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-wwm-ext_lr_3e-06_batch_8_epoch_1_model
+
+This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1713
+- Accuracy: 0.9435
+
+## 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-06
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1748        | 1.0   | 1358 | 0.1713          | 0.9435   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1