End of training

README.md

@@ -20,12 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2561
-- Accuracy: 0.2155
-- Precision: 0.1870
-- Recall: 0.2155
-- F1: 0.1453
-- Binary: 0.4380
+- Loss: 3.9330
+- Accuracy: 0.0674
+- Precision: 0.0116
+- Recall: 0.0674
+- F1: 0.0182
+- Binary: 0.3423
 
 ## Model description
 
@@ -44,7 +44,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 1e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -59,17 +59,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Binary |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
-| No log        | 0.86  | 50   | 4.2865          | 0.0291   | 0.0034    | 0.0291 | 0.0043 | 0.2661 |
-| No log        | 1.72  | 100  | 4.0141          | 0.0460   | 0.0306    | 0.0460 | 0.0187 | 0.3199 |
-| No log        | 2.59  | 150  | 3.8172          | 0.0630   | 0.0204    | 0.0630 | 0.0214 | 0.3378 |
-| No log        | 3.45  | 200  | 3.7045          | 0.0896   | 0.0534    | 0.0896 | 0.0533 | 0.3431 |
-| No log        | 4.31  | 250  | 3.5695          | 0.1308   | 0.0844    | 0.1308 | 0.0796 | 0.3785 |
-| No log        | 5.17  | 300  | 3.4883          | 0.1622   | 0.1140    | 0.1622 | 0.1002 | 0.3954 |
-| No log        | 6.03  | 350  | 3.4447          | 0.1622   | 0.1145    | 0.1622 | 0.1005 | 0.3925 |
-| No log        | 6.9   | 400  | 3.3482          | 0.1671   | 0.0972    | 0.1671 | 0.1026 | 0.4077 |
-| No log        | 7.76  | 450  | 3.3042          | 0.1961   | 0.1424    | 0.1961 | 0.1295 | 0.4228 |
-| 3.7796        | 8.62  | 500  | 3.2724          | 0.2131   | 0.1898    | 0.2131 | 0.1472 | 0.4370 |
-| 3.7796        | 9.48  | 550  | 3.2561          | 0.2155   | 0.1870    | 0.2155 | 0.1453 | 0.4380 |
+| No log        | 0.96  | 50   | 4.4099          | 0.0647   | 0.0191    | 0.0647 | 0.0221 | 0.2396 |
+| No log        | 1.91  | 100  | 4.3523          | 0.0593   | 0.0190    | 0.0593 | 0.0194 | 0.3019 |
+| No log        | 2.87  | 150  | 4.2416          | 0.0701   | 0.0246    | 0.0701 | 0.0235 | 0.3358 |
+| No log        | 3.83  | 200  | 4.1412          | 0.0701   | 0.0265    | 0.0701 | 0.0214 | 0.3437 |
+| No log        | 4.78  | 250  | 4.0716          | 0.0593   | 0.0069    | 0.0593 | 0.0122 | 0.3334 |
+| No log        | 5.74  | 300  | 4.0195          | 0.0701   | 0.0124    | 0.0701 | 0.0186 | 0.3453 |
+| No log        | 6.7   | 350  | 3.9850          | 0.0593   | 0.0073    | 0.0593 | 0.0126 | 0.3350 |
+| No log        | 7.66  | 400  | 3.9610          | 0.0647   | 0.0097    | 0.0647 | 0.0162 | 0.3388 |
+| No log        | 8.61  | 450  | 3.9420          | 0.0674   | 0.0113    | 0.0674 | 0.0180 | 0.3396 |
+| 4.2019        | 9.57  | 500  | 3.9330          | 0.0674   | 0.0116    | 0.0674 | 0.0182 | 0.3423 |
 
 
 ### Framework versions

runs/Jun23_17-11-45_LAPTOP-1GID9RGH/events.out.tfevents.1719137506.LAPTOP-1GID9RGH.23764.0

@@ -1,3 +1,3 @@
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+size 14787