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_norm300_aug5_10_8x
+  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_norm300_aug5_10_8x
+
+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: 1.0667
+- Mse: 4.2666
+- Mae: 1.3594
+- R2: 0.4759
+- Accuracy: 0.3619
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Mse    | Mae    | R2     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:--------:|
+| 0.839         | 1.0   | 6364  | 1.0965          | 4.3859 | 1.5243 | 0.4613 | 0.2012   |
+| 0.4412        | 2.0   | 12728 | 0.9976          | 3.9905 | 1.4462 | 0.5099 | 0.2473   |
+| 0.2543        | 3.0   | 19092 | 1.0667          | 4.2666 | 1.3594 | 0.4759 | 0.3619   |
+
+
+### Framework versions
+
+- Transformers 4.21.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1