End of training

README.md

@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5264
+- Loss: 0.5646
 - Accuracy: 0.9717
-- 1-f1: 0.0667
-- 1-recall: 0.0357
+- 1-f1: 0.3
+- 1-recall: 0.2143
 - 1-precision: 0.5
-- Balanced Acc: 0.5173
+- Balanced Acc: 0.6040
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
-| 0.5197        | 1.0   | 124  | 0.3905          | 0.9717   | 0.0    | 0.0      | 0.0         | 0.5          |
-| 0.2654        | 2.0   | 248  | 0.3728          | 0.9706   | 0.1714 | 0.1071   | 0.4286      | 0.5515       |
-| 0.336         | 3.0   | 372  | 0.5264          | 0.9717   | 0.0667 | 0.0357   | 0.5         | 0.5173       |
+| 0.403         | 1.0   | 124  | 0.6092          | 0.9706   | 0.1714 | 0.1071   | 0.4286      | 0.5515       |
+| 0.1578        | 2.0   | 248  | 0.4444          | 0.9737   | 0.4583 | 0.3929   | 0.55        | 0.6917       |
+| 0.2256        | 3.0   | 372  | 0.5646          | 0.9717   | 0.3    | 0.2143   | 0.5         | 0.6040       |
 
 
 ### Framework versions

model.safetensors

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runs/Feb12_20-32-35_a289b435fc0f/events.out.tfevents.1739392356.a289b435fc0f.1063.12

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training_args.bin

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