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_reg2
+  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_reg2
+
+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: 0.7256
+- Mse: 0.7256
+- Mae: 0.6674
+- R2: 0.4579
+- Accuracy: 0.4573
+
+## 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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Mse    | Mae    | R2     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:--------:|
+| 1.0689        | 1.0   | 3000  | 0.7823          | 0.7823 | 0.6948 | 0.4156 | 0.4327   |
+| 0.6733        | 2.0   | 6000  | 0.7286          | 0.7286 | 0.6705 | 0.4556 | 0.4447   |
+| 0.4735        | 3.0   | 9000  | 0.7125          | 0.7125 | 0.6658 | 0.4677 | 0.46     |
+| 0.3358        | 4.0   | 12000 | 0.7256          | 0.7256 | 0.6674 | 0.4579 | 0.4573   |
+
+
+### Framework versions
+
+- Transformers 4.21.0
+- Pytorch 1.12.0+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1