End of training

README.md

@@ -4,6 +4,9 @@ library_name: peft
 tags:
 - generated_from_trainer
 metrics:
+- precision
+- recall
+- f1
 - accuracy
 base_model: distilbert-base-uncased
 model-index:
@@ -18,8 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0838
-- Accuracy: 0.8982
+- Loss: 1.9255
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Accuracy: 0.9207
 
 ## Model description
 
@@ -48,10 +54,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.2327        | 1.0   | 1563 | 1.1693          | 0.8972   |
-| 1.0963        | 2.0   | 3126 | 1.0838          | 0.8982   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| No log        | 1.0   | 213  | 1.9785          | 0.0       | 0.0    | 0.0 | 0.9206   |
+| No log        | 2.0   | 426  | 1.9255          | 0.0       | 0.0    | 0.0 | 0.9207   |
 
 
 ### Framework versions