update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- emotion
+metrics:
+- accuracy
+model-index:
+- name: bnb-sentiment-model-saagie
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: emotion
+      type: emotion
+      args: split
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.93
+---
+
+<!-- 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. -->
+
+# bnb-sentiment-model-saagie
+
+This model is a fine-tuned version of [j-hartmann/emotion-english-distilroberta-base](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base) on the emotion dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2269
+- Accuracy: 0.93
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3839        | 1.0   | 1500 | 0.2857          | 0.9333   |
+| 0.1902        | 2.0   | 3000 | 0.2143          | 0.9417   |
+| 0.1159        | 3.0   | 4500 | 0.2269          | 0.93     |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.8.1
+- Datasets 2.12.0
+- Tokenizers 0.12.1