navidved/ExHubert_fine-tuned

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [amiriparian/ExHuBERT](https://huggingface.co/amiriparian/ExHuBERT) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2999
-- Accuracy: 0.9020
+- Loss: 0.5088
+- Accuracy: 0.8223
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5965        | 1.0   | 64   | 0.5377          | 0.7529   |
-| 0.5591        | 2.0   | 128  | 0.4485          | 0.8275   |
-| 0.3059        | 3.0   | 192  | 0.3561          | 0.8549   |
-| 0.1571        | 4.0   | 256  | 0.3269          | 0.8941   |
-| 0.1307        | 5.0   | 320  | 0.2999          | 0.9020   |
+| 0.6221        | 1.0   | 185  | 0.5979          | 0.6757   |
+| 0.6233        | 2.0   | 370  | 0.4852          | 0.7938   |
+| 0.7272        | 3.0   | 555  | 0.4642          | 0.8087   |
+| 0.7101        | 4.0   | 740  | 0.4791          | 0.8182   |
+| 0.4366        | 5.0   | 925  | 0.5088          | 0.8223   |
 
 
 ### Framework versions

model.safetensors

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 size 2673678432

runs/Dec23_13-48-29_a19f0aeb8ed0/events.out.tfevents.1734961713.a19f0aeb8ed0.1819.1

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