update model card README.md

README.md

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+---
+license: mit
+base_model: xlnet-base-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: mytuned_test_trainer-base-cased1
+  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. -->
+
+# mytuned_test_trainer-base-cased1
+
+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:
+- eval_loss: 0.7836
+- eval_rmse: 0.7145
+- eval_runtime: 5.7466
+- eval_samples_per_second: 348.03
+- eval_steps_per_second: 43.504
+- epoch: 3.27
+- step: 1633
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3