update model card README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Setfit-finetuned-classifier
+  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. -->
+
+# Setfit-finetuned-classifier
+
+This model is a fine-tuned version of [Kuaaangwen/Setfit-few-shot-classifier](https://huggingface.co/Kuaaangwen/Setfit-few-shot-classifier) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6714
+- Accuracy: 0.7956
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 69   | 2.4585          | 0.6350   |
+| No log        | 2.0   | 138  | 2.2079          | 0.6569   |
+| No log        | 3.0   | 207  | 2.0197          | 0.6934   |
+| No log        | 4.0   | 276  | 1.8746          | 0.7445   |
+| No log        | 5.0   | 345  | 1.7633          | 0.7591   |
+| No log        | 6.0   | 414  | 1.6714          | 0.7956   |
+| No log        | 7.0   | 483  | 1.6051          | 0.7737   |
+| 1.9763        | 8.0   | 552  | 1.5621          | 0.7883   |
+| 1.9763        | 9.0   | 621  | 1.5339          | 0.7883   |
+| 1.9763        | 10.0  | 690  | 1.5228          | 0.7810   |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu116
+- Datasets 2.8.0
+- Tokenizers 0.13.2