j2100067
/

my_awesome_mind_model

Audio Classification

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j2100067 commited on 26 days ago

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README.md +11 -11
model.safetensors +1 -1

README.md CHANGED Viewed

@@ -33,7 +33,7 @@ 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 minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.6697
 - Accuracy: 0.0708
 ## Model description
@@ -68,16 +68,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.8   | 3    | 2.6652          | 0.0619   |
-| No log        | 1.8   | 6    | 2.6617          | 0.0354   |
-| No log        | 2.8   | 9    | 2.6576          | 0.0885   |
-| 3.0013        | 3.8   | 12   | 2.6612          | 0.0708   |
-| 3.0013        | 4.8   | 15   | 2.6654          | 0.0796   |
-| 3.0013        | 5.8   | 18   | 2.6665          | 0.0708   |
-| 2.9902        | 6.8   | 21   | 2.6668          | 0.0619   |
-| 2.9902        | 7.8   | 24   | 2.6682          | 0.0708   |
-| 2.9902        | 8.8   | 27   | 2.6687          | 0.0708   |
-| 2.9787        | 9.8   | 30   | 2.6697          | 0.0708   |
 ### Framework versions

 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: 2.6503
 - Accuracy: 0.0708
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.8   | 3    | 2.6423          | 0.0531   |
+| No log        | 1.8   | 6    | 2.6411          | 0.0885   |
+| No log        | 2.8   | 9    | 2.6392          | 0.0973   |
+| 3.0309        | 3.8   | 12   | 2.6428          | 0.0796   |
+| 3.0309        | 4.8   | 15   | 2.6456          | 0.0796   |
+| 3.0309        | 5.8   | 18   | 2.6474          | 0.0708   |
+| 3.0109        | 6.8   | 21   | 2.6491          | 0.0796   |
+| 3.0109        | 7.8   | 24   | 2.6502          | 0.0796   |
+| 3.0109        | 8.8   | 27   | 2.6504          | 0.0708   |
+| 3.0033        | 9.8   | 30   | 2.6503          | 0.0708   |
 ### Framework versions

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