End of training

README.md

@@ -25,16 +25,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.7241379310344828
+      value: 1.0
     - name: Recall
       type: recall
-      value: 0.7170731707317073
+      value: 1.0
     - name: F1
       type: f1
-      value: 0.7205882352941175
+      value: 1.0
     - name: Accuracy
       type: accuracy
-      value: 0.9920721492851299
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +44,11 @@ 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 the indian_names dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0278
-- Precision: 0.7241
-- Recall: 0.7171
-- F1: 0.7206
-- Accuracy: 0.9921
+- Loss: 0.0
+- Precision: 1.0
+- Recall: 1.0
+- F1: 1.0
+- Accuracy: 1.0
 
 ## Model description
 
@@ -77,13 +77,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 63   | 0.1197          | 0.0       | 0.0    | 0.0    | 0.9745   |
-| No log        | 2.0   | 126  | 0.0818          | 0.8438    | 0.0263 | 0.0511 | 0.9751   |
-| No log        | 3.0   | 189  | 0.0470          | 0.5270    | 0.4859 | 0.5056 | 0.9857   |
-| No log        | 4.0   | 252  | 0.0315          | 0.7042    | 0.6341 | 0.6674 | 0.9906   |
-| No log        | 5.0   | 315  | 0.0278          | 0.7241    | 0.7171 | 0.7206 | 0.9921   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| No log        | 1.0   | 1    | 0.0             | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 2.0   | 2    | 0.0             | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 3.0   | 3    | 0.0             | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 4.0   | 4    | 0.0             | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 5.0   | 5    | 0.0             | 1.0       | 1.0    | 1.0 | 1.0      |
 
 
 ### Framework versions