update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-base-uncased-Regression-Edmunds_Car_Reviews
+  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. -->
+
+# bert-base-uncased-Regression-Edmunds_Car_Reviews
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2324
+- Mse: 0.2324
+- Rmse: 0.4820
+- Mae: 0.3089
+
+## 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: 8
+- eval_batch_size: 8
+- 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    | Rmse   | Mae    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|
+| 0.2142        | 1.0   | 11430 | 0.2421          | 0.2421 | 0.4920 | 0.3126 |
+| 0.1931        | 2.0   | 22860 | 0.2530          | 0.2530 | 0.5030 | 0.3336 |
+| 0.1192        | 3.0   | 34290 | 0.2324          | 0.2324 | 0.4820 | 0.3089 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.2
+- Tokenizers 0.13.3