update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: mytest_trainer_roberta-base
+  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. -->
+
+# mytest_trainer_roberta-base
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6934
+- Rmse: 0.6538
+
+## 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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rmse   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.7459        | 1.0   | 500  | 0.7830          | 0.7537 |
+| 0.6459        | 2.0   | 1000 | 0.6346          | 0.6580 |
+| 0.5262        | 3.0   | 1500 | 0.6565          | 0.6588 |
+| 0.4144        | 4.0   | 2000 | 0.6934          | 0.6538 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3