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: 0.9763165636952045
+      value: 0.9773462783171522
 ---
 
 <!-- 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: 0.4062
-- Accuracy: 0.9763
+- Loss: 0.1122
+- Accuracy: 0.9773
 
 ## Model description
 
@@ -54,7 +53,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 5e-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 |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.8801        | 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   |
+| 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   |
 
 
 ### Framework versions

runs/May14_16-20-08_cs-Precision-7960-Tower/events.out.tfevents.1747254012.cs-Precision-7960-Tower.129778.0

@@ -1,3 +1,3 @@
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-size 43093
+oid sha256:57334812734da78862976b73f8e1767fd4ed58996dae7ccf3a0cf2077416d2e8
+size 43770