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: 0.9830832597822889
+      value: 0.9763165636952045
 ---
 
 <!-- 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: 0.0956
-- Accuracy: 0.9831
+- Loss: 0.4062
+- Accuracy: 0.9763
 
 ## Model description
 
@@ -54,7 +53,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 1e-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 |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.6106        | 0.9962 | 199  | 1.4252          | 0.6209   |
-| 0.6495        | 1.9962 | 398  | 0.5032          | 0.9682   |
-| 0.2978        | 2.9962 | 597  | 0.1903          | 0.9782   |
-| 0.2273        | 3.9962 | 796  | 0.1436          | 0.9772   |
-| 0.1866        | 4.9962 | 995  | 0.1103          | 0.9818   |
-| 0.1616        | 5.9962 | 1194 | 0.0981          | 0.9819   |
-| 0.1385        | 6.9962 | 1393 | 0.0956          | 0.9831   |
-| 0.1524        | 7.9962 | 1592 | 0.0926          | 0.9825   |
+| 1.8801        | 0.9962 | 199  | 1.7454          | 0.6209   |
+| 1.389         | 1.9962 | 398  | 1.2404          | 0.6518   |
+| 1.1239        | 2.9962 | 597  | 1.0690          | 0.7880   |
+| 0.9107        | 3.9962 | 796  | 0.7700          | 0.8961   |
+| 0.7231        | 4.9962 | 995  | 0.6167          | 0.9659   |
+| 0.5972        | 5.9962 | 1194 | 0.4838          | 0.9735   |
+| 0.5143        | 6.9962 | 1393 | 0.4227          | 0.9762   |
+| 0.5159        | 7.9962 | 1592 | 0.4062          | 0.9763   |
 
 
 ### Framework versions

runs/May14_16-06-35_cs-Precision-7960-Tower/events.out.tfevents.1747253199.cs-Precision-7960-Tower.128840.0

@@ -1,3 +1,3 @@
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+size 43770