update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: recipe-lr5e05-wd0.08-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-lr5e05-wd0.08-bs32
+
+This model is a fine-tuned version of [paola-md/recipe-distilroberta-Is](https://huggingface.co/paola-md/recipe-distilroberta-Is) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2751
+- Rmse: 0.5245
+- Mse: 0.2751
+- Mae: 0.4130
+
+## 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: 128
+- eval_batch_size: 128
+- 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
+| 0.2791        | 1.0   | 1245 | 0.2773          | 0.5266 | 0.2773 | 0.4252 |
+| 0.276         | 2.0   | 2490 | 0.2813          | 0.5304 | 0.2813 | 0.4356 |
+| 0.2742        | 3.0   | 3735 | 0.2750          | 0.5244 | 0.2750 | 0.4209 |
+| 0.2725        | 4.0   | 4980 | 0.2761          | 0.5254 | 0.2761 | 0.4033 |
+| 0.2709        | 5.0   | 6225 | 0.2754          | 0.5248 | 0.2754 | 0.4218 |
+| 0.269         | 6.0   | 7470 | 0.2751          | 0.5245 | 0.2751 | 0.4130 |
+
+
+### Framework versions
+
+- Transformers 4.19.0.dev0
+- Pytorch 1.9.0+cu111
+- Datasets 2.4.0
+- Tokenizers 0.12.1