update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilroberta-base-uncased-distilled-emotion
+  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. -->
+
+# distilroberta-base-uncased-distilled-emotion
+
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2657
+- Accuracy: 0.9078
+
+## 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: 64
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9248        | 1.0   | 187  | 0.3691          | 0.8683   |
+| 0.3336        | 2.0   | 374  | 0.2765          | 0.8997   |
+| 0.2417        | 3.0   | 561  | 0.2726          | 0.9064   |
+| 0.1975        | 4.0   | 748  | 0.2569          | 0.9084   |
+| 0.1701        | 5.0   | 935  | 0.2613          | 0.9091   |
+| 0.1475        | 6.0   | 1122 | 0.2659          | 0.9118   |
+| 0.1317        | 7.0   | 1309 | 0.2657          | 0.9078   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.0
+- Datasets 2.1.0
+- Tokenizers 0.13.2