update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilbert-base-cased-distilled-emotion-bg
+  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. -->
+
+# distilbert-base-cased-distilled-emotion-bg
+
+This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5696
+- Accuracy: 0.8055
+
+## 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: 3e-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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3348        | 1.0   | 187  | 1.0111          | 0.6110   |
+| 0.7794        | 2.0   | 374  | 0.6462          | 0.7854   |
+| 0.514         | 3.0   | 561  | 0.5818          | 0.8021   |
+| 0.3975        | 4.0   | 748  | 0.5639          | 0.8115   |
+| 0.3272        | 5.0   | 935  | 0.5696          | 0.8055   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.0
+- Datasets 2.1.0
+- Tokenizers 0.13.2