update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- sem_eval2010_task8
+metrics:
+- accuracy
+model-index:
+- name: bert-base-chinese-finetuned-fdRE
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: sem_eval2010_task8
+      type: sem_eval2010_task8
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9080962800875274
+---
+
+<!-- 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-fdRE
+
+This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the sem_eval2010_task8 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2716
+- Accuracy: 0.9081
+
+## 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: 10
+- eval_batch_size: 10
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 46   | 0.5571          | 0.7812   |
+| No log        | 2.0   | 92   | 0.4030          | 0.8621   |
+| No log        | 3.0   | 138  | 0.3139          | 0.8928   |
+| No log        | 4.0   | 184  | 0.2716          | 0.9081   |
+| No log        | 5.0   | 230  | 0.2564          | 0.9081   |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.0.0
+- Tokenizers 0.11.6