update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: sentence_bert-base-uncased-finetuned-SENTENCE
+  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. -->
+
+# sentence_bert-base-uncased-finetuned-SENTENCE
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0441
+- Precision: 0.9987
+- Recall: 0.9926
+- F1: 0.9956
+- Accuracy: 0.9915
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- 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 | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 317  | 0.3098          | 0.9246    | 0.8867 | 0.9053 | 0.8574   |
+| 0.3357        | 2.0   | 634  | 0.3024          | 0.9402    | 0.8906 | 0.9147 | 0.8724   |
+| 0.3357        | 3.0   | 951  | 0.5501          | 0.8635    | 0.9512 | 0.9052 | 0.8468   |
+| 0.18          | 4.0   | 1268 | 0.5822          | 0.8872    | 0.9375 | 0.9117 | 0.8604   |
+| 0.0489        | 5.0   | 1585 | 0.6994          | 0.8932    | 0.9473 | 0.9194 | 0.8724   |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.10.1+cu113
+- Datasets 1.18.0
+- Tokenizers 0.10.3