Update README.md

README.md

@@ -5,6 +5,82 @@ datasets:
 language:
 - lv
 ---
+Fine-tuned [LVBERT](https://huggingface.co/AiLab-IMCS-UL/lvbert) for multi-label emotion classification task.
+
+Model was trained on [lv_go_emotions](https://huggingface.co/datasets/SkyWater21/lv_go_emotions) dataset. This dataset is Latvian translation of [GoEmotions](https://huggingface.co/datasets/go_emotions) dataset. Google Translate was used to generate the machine translation.
+
+Original 26 emotions were mapped to 6 base emotions as per Dr. Ekman theory.
+
+Labels predicted by classifier:
+```yaml
+0: anger
+1: disgust
+2: fear
+3: joy
+4: sadness
+5: surprise
+6: neutral
+```
+
+Label mapping from 27 emotions from GoEmotion to 6 base emotions as per Dr. Ekman theory:
+|GoEmotion|Ekman|
+|---|---|
+| admiration | joy|
+| amusement | joy|
+| anger | anger|
+| annoyance | anger|
+| approval | joy|
+| caring | joy|
+| confusion | surprise|
+| curiosity | surprise|
+| desire | joy|
+| disappointment | sadness|
+| disapproval | anger|
+| disgust | disgust|
+| embarrassment | sadness|
+| excitement | joy|
+| fear | fear|
+| gratitude | joy|
+| grief | sadness|
+| joy | joy|
+| love | joy|
+| nervousness | fear|
+| optimism | joy|
+| pride | joy|
+| realization | surprise|
+| relief | joy|
+| remorse | sadness|
+| sadness | sadness|
+| surprise | surprise|
+| neutral | neutral|
+
+Seed used for random number generator is 42:
+```python
+def set_seed(seed=42):
+    random.seed(seed)
+    np.random.seed(seed)
+    torch.manual_seed(seed)
+    if torch.cuda.is_available():
+        torch.cuda.manual_seed_all(seed)
+```
+
+Training parameters:
+```yaml
+max_length: null
+batch_size: 32
+shuffle: True
+num_workers: 2
+pin_memory: False
+drop_last: False
+
+optimizer: adam
+lr: 0.00001
+weight_decay: 0
+
+problem_type: multi_label_classification
+
+num_epochs: 3
+```
 
 
 Evaluation results on test split of [lv_go_emotions](https://huggingface.co/datasets/SkyWater21/lv_go_emotions/viewer/simplified_ekman)