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_reg3
+  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_reg3
+
+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: 0.7954
+- Mse: 0.7954
+- Mae: 0.6900
+- R2: 0.4769
+- Accuracy: 0.4459
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:--------:|
+| 1.018         | 1.0   | 3122  | 0.7491          | 0.7491 | 0.6739 | 0.5073 | 0.4555   |
+| 0.668         | 2.0   | 6244  | 0.7397          | 0.7397 | 0.6687 | 0.5135 | 0.4689   |
+| 0.4871        | 3.0   | 9366  | 0.7542          | 0.7542 | 0.6730 | 0.5040 | 0.4606   |
+| 0.3419        | 4.0   | 12488 | 0.7710          | 0.7710 | 0.6802 | 0.4929 | 0.4536   |
+| 0.2532        | 5.0   | 15610 | 0.7954          | 0.7954 | 0.6900 | 0.4769 | 0.4459   |
+
+
+### Framework versions
+
+- Transformers 4.21.0
+- Pytorch 1.12.0+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1