vargha/ExHubert-fine-tuned-persian2

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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0388
-- Accuracy: 0.7946
+- Loss: 0.9696
+- Accuracy: 0.8054
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3306        | 1.0   | 736  | 1.0617          | 0.7946   |
-| 3.174         | 2.0   | 1472 | 0.8065          | 0.8054   |
-| 0.5066        | 3.0   | 2208 | 1.0427          | 0.8054   |
-| 0.1056        | 4.0   | 2944 | 1.0388          | 0.7946   |
+| 0.0028        | 1.0   | 736  | 1.2014          | 0.7676   |
+| 2.6939        | 2.0   | 1472 | 0.7666          | 0.8216   |
+| 0.0031        | 3.0   | 2208 | 0.8783          | 0.8108   |
+| 0.0834        | 4.0   | 2944 | 0.9696          | 0.8054   |
 
 
 ### Framework versions

model.safetensors

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runs/Dec24_12-35-58_e16a90701ca0/events.out.tfevents.1735043760.e16a90701ca0.745.0

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