Model save

README.md

@@ -21,11 +21,11 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0453
-- Accuracy: 0.7794
-- F1: 0.7715
-- Recall: 0.7722
-- Precision: 0.7752
+- Loss: 1.4970
+- Accuracy: 0.8304
+- F1: 0.8244
+- Recall: 0.8262
+- Precision: 0.8260
 
 ## Model description
 
@@ -56,23 +56,23 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Recall | Precision |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
-| 2.2104        | 1.0   | 267  | 2.2272          | 0.3755   | 0.3160 | 0.3656 | 0.3611    |
-| 1.6919        | 2.0   | 534  | 1.7563          | 0.4622   | 0.3974 | 0.4519 | 0.3981    |
-| 1.3183        | 3.0   | 801  | 1.4686          | 0.5366   | 0.4834 | 0.5237 | 0.5364    |
-| 1.0196        | 4.0   | 1068 | 1.2824          | 0.6183   | 0.5754 | 0.6094 | 0.5873    |
-| 1.0655        | 5.0   | 1335 | 1.2136          | 0.6196   | 0.5822 | 0.6075 | 0.6142    |
-| 0.8205        | 6.0   | 1602 | 1.0635          | 0.6778   | 0.6449 | 0.6687 | 0.6611    |
-| 0.6309        | 7.0   | 1869 | 1.0256          | 0.7088   | 0.6798 | 0.6975 | 0.7004    |
-| 0.4618        | 8.0   | 2136 | 0.9435          | 0.7435   | 0.7330 | 0.7373 | 0.7387    |
-| 0.4057        | 9.0   | 2403 | 0.9192          | 0.7534   | 0.7403 | 0.7465 | 0.7507    |
-| 0.2491        | 10.0  | 2670 | 0.9099          | 0.7596   | 0.7539 | 0.7510 | 0.7640    |
-| 0.2548        | 11.0  | 2937 | 1.0901          | 0.7336   | 0.7305 | 0.7291 | 0.7475    |
-| 0.0885        | 12.0  | 3204 | 1.0956          | 0.7447   | 0.7417 | 0.7387 | 0.7519    |
-| 0.0988        | 13.0  | 3471 | 1.0585          | 0.7695   | 0.7623 | 0.7634 | 0.7641    |
-| 0.1982        | 14.0  | 3738 | 1.0453          | 0.7794   | 0.7715 | 0.7722 | 0.7752    |
-| 0.0966        | 15.0  | 4005 | 1.0914          | 0.7732   | 0.7676 | 0.7690 | 0.7706    |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Recall | Precision |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| 1.1447        | 1.0   | 2393  | 1.2684          | 0.6524   | 0.6382 | 0.6533 | 0.6527    |
+| 0.7302        | 2.0   | 4786  | 0.8886          | 0.7458   | 0.7421 | 0.7479 | 0.7637    |
+| 0.521         | 3.0   | 7179  | 0.8755          | 0.7701   | 0.7686 | 0.7715 | 0.7934    |
+| 0.3648        | 4.0   | 9572  | 1.0389          | 0.7731   | 0.7723 | 0.7673 | 0.7928    |
+| 0.6132        | 5.0   | 11965 | 1.0694          | 0.7997   | 0.7955 | 0.7943 | 0.8170    |
+| 0.6512        | 6.0   | 14358 | 1.2190          | 0.7886   | 0.7864 | 0.7864 | 0.7984    |
+| 0.0851        | 7.0   | 16751 | 1.2496          | 0.8022   | 0.7959 | 0.7973 | 0.8082    |
+| 0.0881        | 8.0   | 19144 | 1.2582          | 0.8127   | 0.8088 | 0.8105 | 0.8098    |
+| 0.1063        | 9.0   | 21537 | 1.4087          | 0.8148   | 0.8119 | 0.8121 | 0.8176    |
+| 0.4205        | 10.0  | 23930 | 1.4825          | 0.8055   | 0.8001 | 0.8019 | 0.8158    |
+| 0.0478        | 11.0  | 26323 | 1.4240          | 0.8109   | 0.8023 | 0.8031 | 0.8082    |
+| 0.0037        | 12.0  | 28716 | 1.3865          | 0.8248   | 0.8182 | 0.8199 | 0.8202    |
+| 0.0236        | 13.0  | 31109 | 1.4570          | 0.8279   | 0.8230 | 0.8232 | 0.8250    |
+| 0.0094        | 14.0  | 33502 | 1.4892          | 0.8289   | 0.8227 | 0.8248 | 0.8249    |
+| 0.0002        | 15.0  | 35895 | 1.4970          | 0.8304   | 0.8244 | 0.8262 | 0.8260    |
 
 
 ### Framework versions

runs/Nov15_11-55-44_609d66a3dca1/events.out.tfevents.1731717458.609d66a3dca1.203.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:deed8ca75a0742574985d543abfd4bc15825957550ccafc0ec506eff18f6aee6
+size 569