update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilbert-base-uncased-finetuned-ft1500_norm500_aug1
+  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. -->
+
+# distilbert-base-uncased-finetuned-ft1500_norm500_aug1
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9086
+- Mse: 3.6357
+- Mae: 1.0762
+- R2: 0.2894
+- Accuracy: 0.5170
+
+## 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: 4
+- eval_batch_size: 4
+- 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 | Mse    | Mae    | R2     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:--------:|
+| 1.5856        | 1.0   | 5847  | 3.3101          | 4.1376 | 1.1447 | 0.1913 | 0.4965   |
+| 0.442         | 2.0   | 11694 | 2.7448          | 3.4311 | 1.0934 | 0.3294 | 0.4523   |
+| 0.2703        | 3.0   | 17541 | 2.9300          | 3.6625 | 1.0907 | 0.2841 | 0.4933   |
+| 0.1699        | 4.0   | 23388 | 2.7979          | 3.4973 | 1.0808 | 0.3164 | 0.4805   |
+| 0.1168        | 5.0   | 29235 | 2.9086          | 3.6357 | 1.0762 | 0.2894 | 0.5170   |
+
+
+### Framework versions
+
+- Transformers 4.21.1
+- Pytorch 1.12.0+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1