antonjaragon
/

emotions_xls53_6_classes

Audio Classification

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antonjaragon commited on Aug 21, 2023

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update model card README.md

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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8280
-- Accuracy: 0.7236
 ## Model description
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.775         | 0.99  | 76   | 1.7587          | 0.2633   |
-| 1.5492        | 2.0   | 153  | 1.5314          | 0.3387   |
-| 1.2647        | 2.99  | 229  | 1.1950          | 0.5184   |
-| 1.0828        | 4.0   | 306  | 1.2200          | 0.5381   |
-| 0.9776        | 4.99  | 382  | 1.0461          | 0.6200   |
-| 0.863         | 6.0   | 459  | 0.9525          | 0.6695   |
-| 0.7428        | 6.99  | 535  | 0.8484          | 0.7109   |
-| 0.7273        | 8.0   | 612  | 0.8986          | 0.6994   |
-| 0.6801        | 8.99  | 688  | 0.8280          | 0.7203   |
-| 0.6629        | 9.93  | 760  | 0.8280          | 0.7236   |
 ### Framework versions

 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.8000
+- Accuracy: 0.7678
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 3e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6892        | 0.99  | 76   | 0.8018          | 0.7346   |
+| 0.6611        | 2.0   | 153  | 0.7451          | 0.7482   |
+| 0.6012        | 2.99  | 229  | 0.6767          | 0.7731   |
+| 0.4795        | 4.0   | 306  | 0.8686          | 0.7408   |
+| 0.5143        | 4.99  | 382  | 0.7684          | 0.7629   |
+| 0.4878        | 6.0   | 459  | 0.7513          | 0.7744   |
+| 0.4619        | 6.99  | 535  | 0.8314          | 0.7596   |
+| 0.458         | 8.0   | 612  | 0.7943          | 0.7670   |
+| 0.4383        | 8.99  | 688  | 0.8460          | 0.7596   |
+| 0.5196        | 9.93  | 760  | 0.8000          | 0.7678   |
 ### Framework versions