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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.0237
-- Accuracy: 0.0638
+- Loss: 3.8597
+- Accuracy: 0.0627
 
 ## Model description
 
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 0.001
 - train_batch_size: 24
 - eval_batch_size: 24
 - seed: 42
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 3.9758        | 1.0   | 527  | 4.2909          | 0.0628   |
-| 3.8309        | 2.0   | 1055 | 4.1173          | 0.0635   |
-| 3.7659        | 3.0   | 1582 | 4.0237          | 0.0638   |
-| 3.6979        | 4.0   | 2110 | 3.9634          | 0.0624   |
-| 3.5675        | 5.0   | 2637 | 3.9040          | 0.0522   |
-| 3.5269        | 6.0   | 3165 | 3.8891          | 0.0623   |
-| 3.3128        | 7.0   | 3692 | 3.9103          | 0.0571   |
-| 3.2136        | 8.0   | 4220 | 3.9255          | 0.0607   |
+| 3.7961        | 1.0   | 527  | 3.9199          | 0.0400   |
+| 3.797         | 2.0   | 1055 | 3.9294          | 0.0520   |
+| 3.9174        | 3.0   | 1582 | 3.8597          | 0.0627   |
+| 3.9264        | 4.0   | 2110 | 3.8551          | 0.0627   |
+| 3.8772        | 5.0   | 2637 | 3.8744          | 0.0627   |
+| 3.9218        | 6.0   | 3165 | 3.8676          | 0.0627   |
+| 3.8898        | 7.0   | 3692 | 3.8515          | 0.0627   |
+| 3.9045        | 8.0   | 4220 | 3.8544          | 0.0627   |
 
 
 ### Framework versions

model.safetensors

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 size 378394976

runs/Mar05_19-55-01_ki-g0009/events.out.tfevents.1709668503.ki-g0009

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+size 80011

runs/Mar05_19-55-01_ki-g0009/events.out.tfevents.1709678407.ki-g0009

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