MatsRooth
/

wav2vec2-present

Audio Classification

Generated from Trainer

Model card Files Files and versions

MatsRooth commited on Nov 9, 2025

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README.md +13 -14

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@@ -2,7 +2,6 @@
 license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
-- audio-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-present
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the MatsRooth/object dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0866
-- Accuracy: 0.9853
 ## Model description
@@ -54,16 +53,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.5208        | 1.0   | 1539  | 0.2246          | 0.9425   |
-| 0.1232        | 2.0   | 3079  | 0.1606          | 0.9655   |
-| 0.2855        | 3.0   | 4618  | 0.1177          | 0.9696   |
-| 0.2405        | 4.0   | 6158  | 0.1015          | 0.9793   |
-| 0.0272        | 5.0   | 7697  | 0.0853          | 0.9830   |
-| 0.1269        | 6.0   | 9237  | 0.1081          | 0.9807   |
-| 0.031         | 7.0   | 10776 | 0.0811          | 0.9848   |
-| 0.0781        | 8.0   | 12316 | 0.0707          | 0.9848   |
-| 0.0317        | 9.0   | 13855 | 0.0851          | 0.9848   |
-| 0.068         | 10.0  | 15390 | 0.0866          | 0.9853   |
 ### Framework versions

 license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
 - generated_from_trainer
 metrics:
 - accuracy
 # wav2vec2-present
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1188
+- Accuracy: 0.9783
 ## Model description
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.5859        | 1.0   | 2151  | 0.2952          | 0.9351   |
+| 0.4323        | 2.0   | 4302  | 0.2043          | 0.9562   |
+| 0.4494        | 3.0   | 6453  | 0.1691          | 0.9644   |
+| 0.0351        | 4.0   | 8604  | 0.1447          | 0.9677   |
+| 0.2679        | 5.0   | 10755 | 0.1372          | 0.9704   |
+| 0.3252        | 6.0   | 12906 | 0.1281          | 0.9720   |
+| 0.1319        | 7.0   | 15057 | 0.1087          | 0.9789   |
+| 0.0646        | 8.0   | 17208 | 0.1371          | 0.9740   |
+| 0.1035        | 9.0   | 19359 | 0.1219          | 0.9776   |
+| 0.1148        | 10.0  | 21510 | 0.1188          | 0.9783   |
 ### Framework versions