Added train-eval details

README.md

@@ -0,0 +1,48 @@
+**Train-Test Set:** "intent-multilabel-v1-2.zip"
+
+## Training Params
+```
+evaluation_strategy = "epoch"
+save_strategy = "epoch"
+per_device_train_batch_size = 16
+per_device_eval_batch_size = 16
+num_train_epochs = 4
+load_best_model_at_end = True
+```
+
+## Train-Val Splitting Configuration
+```
+train_test_split(df_train,
+                 test_size=0.1,
+                 random_state=1111)
+```
+
+## Training Log
+```
+Epoch	Training Loss	Validation Loss
+1	    No log	        0.150276
+2	    0.195100	    0.132906
+3	    0.107700	    0.128633
+4	    0.107700	    0.127795
+```
+
+## Eval Results
+```
+              precision    recall  f1-score   support
+
+    Alakasiz       0.90      0.87      0.89       734
+     Barinma       0.85      0.80      0.83       207
+  Elektronik       0.73      0.78      0.75       130
+       Giysi       0.83      0.66      0.73        94
+    Kurtarma       0.86      0.79      0.82       362
+    Lojistik       0.73      0.51      0.60       112
+      Saglik       0.74      0.74      0.74       108
+          Su       0.64      0.60      0.62        78
+       Yagma       0.68      0.55      0.61        31
+       Yemek       0.80      0.83      0.81       117
+
+   micro avg       0.84      0.79      0.81      1973
+   macro avg       0.78      0.71      0.74      1973
+weighted avg       0.84      0.79      0.81      1973
+ samples avg       0.84      0.82      0.82      1973
+```