update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: recipe-roberta-lr2e05-wd0.02-bs32
+  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. -->
+
+# recipe-roberta-lr2e05-wd0.02-bs32
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2782
+- Rmse: 0.5274
+- Mse: 0.2782
+- Mae: 0.4286
+
+## 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: 256
+- eval_batch_size: 256
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rmse   | Mse    | Mae    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
+| 0.2781        | 1.0   | 623  | 0.2736          | 0.5231 | 0.2736 | 0.4122 |
+| 0.274         | 2.0   | 1246 | 0.2758          | 0.5251 | 0.2758 | 0.4243 |
+| 0.2721        | 3.0   | 1869 | 0.2782          | 0.5274 | 0.2782 | 0.4286 |
+
+
+### Framework versions
+
+- Transformers 4.19.0.dev0
+- Pytorch 1.9.0+cu111
+- Datasets 2.4.0
+- Tokenizers 0.12.1