MachineWhisperer
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my_awesome_mind_model

Audio Classification

Generated from Trainer

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MachineWhisperer commited on Mar 2, 2023

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1 Parent(s): 6067a64

update model card README.md

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@@ -3,7 +3,7 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
-- minds14
 metrics:
 - accuracy
 model-index:
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 # my_awesome_mind_model
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- Accuracy: 0.1062
 ## Model description
@@ -53,21 +53,21 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.8   | 3    | nan             | 0.1062   |
-| No log        | 1.8   | 6    | nan             | 0.1062   |
-| No log        | 2.8   | 9    | nan             | 0.1062   |
-| 936.7812      | 3.8   | 12   | nan             | 0.1062   |
-| 936.7812      | 4.8   | 15   | nan             | 0.1062   |
-| 936.7812      | 5.8   | 18   | nan             | 0.1062   |
-| 0.0           | 6.8   | 21   | nan             | 0.1062   |
-| 0.0           | 7.8   | 24   | nan             | 0.1062   |
-| 0.0           | 8.8   | 27   | nan             | 0.1062   |
-| 0.0           | 9.8   | 30   | nan             | 0.1062   |
 ### Framework versions
-- Transformers 4.26.0
-- Pytorch 1.12.0+cu113
-- Datasets 2.9.0
 - Tokenizers 0.13.2

 tags:
 - generated_from_trainer
 datasets:
+- audiofolder
 metrics:
 - accuracy
 model-index:
 # my_awesome_mind_model
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.6821
+- Accuracy: 0.5914
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.679         | 0.99  | 39   | 0.6800          | 0.5706   |
+| 0.6733        | 1.99  | 78   | 0.6946          | 0.5619   |
+| 0.6629        | 2.99  | 117  | 0.6732          | 0.5882   |
+| 0.6327        | 3.99  | 156  | 0.6788          | 0.5850   |
+| 0.6511        | 4.99  | 195  | 0.6770          | 0.5778   |
+| 0.6419        | 5.99  | 234  | 0.6840          | 0.5802   |
+| 0.6214        | 6.99  | 273  | 0.6753          | 0.5986   |
+| 0.623         | 7.99  | 312  | 0.6789          | 0.5970   |
+| 0.5955        | 8.99  | 351  | 0.6796          | 0.5842   |
+| 0.5975        | 9.99  | 390  | 0.6821          | 0.5914   |
 ### Framework versions
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu117
+- Datasets 2.10.1
 - Tokenizers 0.13.2