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
+  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
+
+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: 0.8852
+- Mse: 2.9505
+- Mae: 1.0272
+- R2: 0.4233
+- Accuracy: 0.4914
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
+| 0.62          | 1.0   | 3122 | 0.8853          | 2.9511 | 1.0392 | 0.4232 | 0.4830   |
+| 0.5042        | 2.0   | 6244 | 0.8695          | 2.8984 | 1.0347 | 0.4335 | 0.4651   |
+| 0.309         | 3.0   | 9366 | 0.8852          | 2.9505 | 1.0272 | 0.4233 | 0.4914   |
+
+
+### Framework versions
+
+- Transformers 4.21.0
+- Pytorch 1.12.0+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1