update model card README.md

README.md

@@ -0,0 +1,64 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilbert-base-uncased-finetuned-ft1500_norm500_aug5
+  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_aug5
+
+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: 0.8927
+- Mse: 2.9755
+- Mae: 1.0176
+- R2: 0.4184
+- Accuracy: 0.5003
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:--------:|
+| 0.4176        | 1.0   | 3952  | 1.0499          | 3.4996 | 1.0853 | 0.3160 | 0.4593   |
+| 0.3196        | 2.0   | 7904  | 0.8670          | 2.8901 | 1.0503 | 0.4351 | 0.4600   |
+| 0.2084        | 3.0   | 11856 | 0.8927          | 2.9755 | 1.0176 | 0.4184 | 0.5003   |
+
+
+### Framework versions
+
+- Transformers 4.21.1
+- Pytorch 1.12.0+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1