Update README.md

README.md

@@ -1,40 +0,0 @@
----
-language:
-- en
-license: apache-2.0
----
-
-## Evaluation Results
-
-The model was trained for 10 epochs and the best model was loaded at the end.
-
-| Epoch | Training Loss | Validation Loss | Accuracy | F1       | Precision | Recall   |
-| ----- | ------------- | --------------- | -------- | -------- | --------- | -------- |
-| 1     | 0.563500      | 0.420457        | 0.796992 | 0.626728 | 0.680000  | 0.581197 |
-| 2     | 0.293600      | 0.281360        | 0.884712 | 0.811475 | 0.779528  | 0.846154 |
-| 3     | 0.163000      | 0.267922        | 0.904762 | 0.844262 | 0.811024  | 0.880342 |
-| 4     | 0.090200      | 0.335411        | 0.899749 | 0.838710 | 0.793893  | 0.888889 |
-| 5     | 0.065200      | 0.462526        | 0.897243 | 0.835341 | 0.787879  | 0.888889 |
-| 6     | 0.039200      | 0.423001        | 0.912281 | 0.859438 | 0.810606  | 0.914530 |
-| 7     | 0.025300      | 0.452100        | 0.912281 | 0.859438 | 0.810606  | 0.914530 |
-| 8     | 0.010400      | 0.525200        | 0.914787 | 0.855932 | 0.848739  | 0.863248 |
-| 9     | 0.007100      | 0.513585        | 0.909774 | 0.850000 | 0.829268  | 0.871795 |
-| 10    | 0.007200      | 0.537254        | 0.917293 | 0.864198 | 0.833333  | 0.897436 |
-
-## How to Use
-
-### As Text Classifier
-
-```python
-from transformers import pipeline
-
-pretrained_name = "w11wo/indonesian-roberta-base-indolem-sentiment-classifier-fold-0"
-
-nlp = pipeline(
-    "sentiment-analysis",
-    model=pretrained_name,
-    tokenizer=pretrained_name
-)
-
-nlp("Pelayanan hotel ini sangat baik.")
-```