Model save

README.md

@@ -3,7 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
-- audio-classification
 - generated_from_trainer
 datasets:
 - superb
@@ -24,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9773462783171522
+      value: 0.9814651368049426
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +33,8 @@ 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 superb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1122
-- Accuracy: 0.9773
+- Loss: 0.1206
+- Accuracy: 0.9815
 
 ## Model description
 
@@ -54,7 +53,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 2e-05
 - train_batch_size: 64
 - eval_batch_size: 32
 - seed: 0
@@ -70,14 +69,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.4829        | 0.9962 | 199  | 1.2923          | 0.6456   |
-| 0.8844        | 1.9962 | 398  | 0.6811          | 0.7917   |
-| 0.4241        | 2.9962 | 597  | 0.2847          | 0.9267   |
-| 0.2724        | 3.9962 | 796  | 0.1546          | 0.9731   |
-| 0.2362        | 4.9962 | 995  | 0.1285          | 0.9760   |
-| 0.1729        | 5.9962 | 1194 | 0.1237          | 0.9748   |
-| 0.1632        | 6.9962 | 1393 | 0.1095          | 0.9768   |
-| 0.1642        | 7.9962 | 1592 | 0.1122          | 0.9773   |
+| 1.7191        | 0.9962 | 199  | 1.5815          | 0.6209   |
+| 1.0088        | 1.9962 | 398  | 0.9595          | 0.8348   |
+| 0.4964        | 2.9962 | 597  | 0.3730          | 0.9728   |
+| 0.3263        | 3.9962 | 796  | 0.2161          | 0.9784   |
+| 0.2512        | 4.9962 | 995  | 0.1617          | 0.9796   |
+| 0.214         | 5.9962 | 1194 | 0.1363          | 0.9807   |
+| 0.1826        | 6.9962 | 1393 | 0.1244          | 0.9815   |
+| 0.1982        | 7.9962 | 1592 | 0.1206          | 0.9815   |
 
 
 ### Framework versions

model.safetensors

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 size 385400352

runs/May15_00-55-30_cs-Precision-7960-Tower/events.out.tfevents.1747284935.cs-Precision-7960-Tower.141414.0

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