update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Regression_xlnet_aug_MSEloss
+  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. -->
+
+# Regression_xlnet_aug_MSEloss
+
+This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4900
+- Mse: 0.4900
+- Mae: 0.5762
+- R2: -0.0876
+- Accuracy: 0.4533
+
+## 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: 1e-12
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 263  | 0.4123          | 0.4123 | 0.5313 | 0.0379 | 0.4633   |
+| 0.4874        | 2.0   | 526  | 0.4123          | 0.4123 | 0.5313 | 0.0379 | 0.4633   |
+| 0.4874        | 3.0   | 789  | 0.4123          | 0.4123 | 0.5313 | 0.0379 | 0.4633   |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3