End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9254
-- Accuracy: 0.6485
+- Loss: 0.9758
+- Accuracy: 0.5838
 
 ## Model description
 
@@ -46,22 +46,32 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 10
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.2727        | 0.97  | 28   | 1.2536          | 0.5520   |
-| 1.2855        | 1.98  | 57   | 1.1553          | 0.5520   |
-| 1.2834        | 2.99  | 86   | 1.1334          | 0.5305   |
-| 1.127         | 4.0   | 115  | 0.9970          | 0.5799   |
-| 1.1262        | 4.97  | 143  | 0.9905          | 0.6168   |
-| 1.2568        | 5.98  | 172  | 0.9853          | 0.6155   |
-| 1.1343        | 6.99  | 201  | 0.9947          | 0.6218   |
-| 1.0321        | 8.0   | 230  | 0.9495          | 0.6294   |
-| 1.0019        | 8.97  | 258  | 0.9227          | 0.6548   |
-| 0.9676        | 9.74  | 280  | 0.9254          | 0.6485   |
+| 0.9835        | 0.97  | 28   | 0.9852          | 0.6256   |
+| 1.0709        | 1.98  | 57   | 0.9559          | 0.6193   |
+| 2.2881        | 2.99  | 86   | 1.3049          | 0.5203   |
+| 1.5153        | 4.0   | 115  | 1.7062          | 0.3604   |
+| 1.5127        | 4.97  | 143  | 1.3469          | 0.4683   |
+| 1.4081        | 5.98  | 172  | 1.1282          | 0.5063   |
+| 1.5358        | 6.99  | 201  | 1.1630          | 0.5355   |
+| 1.4543        | 8.0   | 230  | 1.6172          | 0.3426   |
+| 1.4626        | 8.97  | 258  | 1.1863          | 0.5241   |
+| 1.3419        | 9.98  | 287  | 1.3211          | 0.4898   |
+| 1.2167        | 10.99 | 316  | 1.1622          | 0.5381   |
+| 1.3479        | 12.0  | 345  | 1.1126          | 0.5355   |
+| 1.2712        | 12.97 | 373  | 1.1934          | 0.5102   |
+| 1.3099        | 13.98 | 402  | 1.0652          | 0.5241   |
+| 1.1829        | 14.99 | 431  | 1.0393          | 0.5241   |
+| 1.3834        | 16.0  | 460  | 1.0916          | 0.5508   |
+| 1.1997        | 16.97 | 488  | 1.0677          | 0.5799   |
+| 1.1304        | 17.98 | 517  | 0.9980          | 0.5863   |
+| 1.0456        | 18.99 | 546  | 0.9734          | 0.5863   |
+| 1.0446        | 19.48 | 560  | 0.9758          | 0.5838   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:80411c7584702c9db17a1e71fb9e93ba1923528579cc04a92a71b25b86724be6
+oid sha256:c7082d70fabae67d507d6c9d7fef0e8d34fd96c7b23d5fb8029bf1d97695935d
 size 378308536

runs/Nov13_16-45-45_8a5ba29056be/events.out.tfevents.1699893946.8a5ba29056be.5820.8

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3053e225abfbc15af00d6d0a14c5c99201c571f85414efd373aac54dfcad1285
-size 21524
+oid sha256:97bf79ce43d27e33f185c267932a0c98609c00f0d9fd90b3944059f438649802
+size 21878