End of training

README.md

@@ -18,8 +18,8 @@ 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: 0.9645
-- Accuracy: 0.6605
+- Loss: 0.8299
+- Accuracy: 0.7182
 
 ## Model description
 
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 4e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -53,22 +53,22 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Accuracy |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|
-| 6.4375        | 0.9455  | 13   | 1.5888          | 0.2864   |
-| 6.3195        | 1.9636  | 27   | 1.4956          | 0.3303   |
-| 5.5946        | 2.9818  | 41   | 1.3432          | 0.4296   |
-| 5.1778        | 4.0     | 55   | 1.2428          | 0.4896   |
-| 4.8878        | 4.9455  | 68   | 1.1755          | 0.5219   |
-| 4.4526        | 5.9636  | 82   | 1.1291          | 0.5612   |
-| 4.2637        | 6.9818  | 96   | 1.1010          | 0.5843   |
-| 3.92          | 8.0     | 110  | 1.0861          | 0.5889   |
-| 3.7452        | 8.9455  | 123  | 1.0428          | 0.6051   |
-| 3.6307        | 9.9636  | 137  | 1.0306          | 0.6351   |
-| 3.4254        | 10.9818 | 151  | 0.9944          | 0.6467   |
-| 3.1453        | 12.0    | 165  | 0.9931          | 0.6328   |
-| 3.2321        | 12.9455 | 178  | 0.9595          | 0.6582   |
-| 3.0323        | 13.9636 | 192  | 0.9593          | 0.6490   |
-| 2.9844        | 14.9818 | 206  | 0.9645          | 0.6605   |
-| 2.9844        | 15.1273 | 208  | 0.9652          | 0.6605   |
+| 6.4248        | 0.9455  | 13   | 1.5911          | 0.2748   |
+| 6.3186        | 1.9636  | 27   | 1.4754          | 0.4249   |
+| 5.5404        | 2.9818  | 41   | 1.2967          | 0.4850   |
+| 5.136         | 4.0     | 55   | 1.1871          | 0.5289   |
+| 4.8487        | 4.9455  | 68   | 1.1144          | 0.5612   |
+| 4.337         | 5.9636  | 82   | 1.0689          | 0.5820   |
+| 4.1023        | 6.9818  | 96   | 0.9931          | 0.6628   |
+| 3.762         | 8.0     | 110  | 0.9842          | 0.6305   |
+| 3.4974        | 8.9455  | 123  | 0.9379          | 0.6420   |
+| 3.4265        | 9.9636  | 137  | 0.9304          | 0.6559   |
+| 3.111         | 10.9818 | 151  | 0.8909          | 0.6767   |
+| 2.9471        | 12.0    | 165  | 0.8744          | 0.6859   |
+| 2.8061        | 12.9455 | 178  | 0.8533          | 0.7021   |
+| 2.7032        | 13.9636 | 192  | 0.8541          | 0.7067   |
+| 2.5328        | 14.9818 | 206  | 0.8299          | 0.7136   |
+| 2.5328        | 15.1273 | 208  | 0.8299          | 0.7182   |
 
 
 ### Framework versions

runs/Oct25_08-30-56_120abf89e08f/events.out.tfevents.1729845058.120abf89e08f.23.0

@@ -1,3 +1,3 @@
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-size 16325
+oid sha256:7ff541e45bfde7bb2798eb320e8583377887ea1edf694ba73eff6bac25364edb
+size 16679

runs/Oct25_08-30-56_120abf89e08f/events.out.tfevents.1729845753.120abf89e08f.23.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:afbdc774990fae0b0471a6706e25d44cfb540458593ee07965de0cf2f1d1e744
+size 411