End of training

README.md

@@ -3,26 +3,11 @@ license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
 - generated_from_trainer
-datasets:
-- minds14
 metrics:
 - accuracy
 model-index:
 - name: mood_box
-  results:
-  - task:
-      name: Audio Classification
-      type: audio-classification
-    dataset:
-      name: minds14
-      type: minds14
-      config: en-US
-      split: train
-      args: en-US
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.061946902654867256
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mood_box
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.6496
-- Accuracy: 0.0619
+- Loss: 1.5115
+- Accuracy: 0.3802
 
 ## Model description
 
@@ -67,19 +52,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.8   | 3    | 2.6435          | 0.0619   |
-| No log        | 1.87  | 7    | 2.6416          | 0.0619   |
-| 2.6371        | 2.93  | 11   | 2.6472          | 0.0619   |
-| 2.6371        | 4.0   | 15   | 2.6464          | 0.0619   |
-| 2.6371        | 4.8   | 18   | 2.6460          | 0.0619   |
-| 2.6244        | 5.87  | 22   | 2.6479          | 0.0619   |
-| 2.6244        | 6.93  | 26   | 2.6492          | 0.0619   |
-| 2.6252        | 8.0   | 30   | 2.6496          | 0.0619   |
+| No log        | 1.0   | 4    | 1.6030          | 0.2231   |
+| No log        | 2.0   | 8    | 1.5976          | 0.3223   |
+| 1.6018        | 3.0   | 12   | 1.5936          | 0.2893   |
+| 1.6018        | 4.0   | 16   | 1.5849          | 0.2810   |
+| 1.5765        | 5.0   | 20   | 1.5733          | 0.3636   |
+| 1.5765        | 6.0   | 24   | 1.5557          | 0.3884   |
+| 1.5765        | 7.0   | 28   | 1.5360          | 0.3719   |
+| 1.5323        | 8.0   | 32   | 1.5246          | 0.3554   |
+| 1.5323        | 9.0   | 36   | 1.5152          | 0.3719   |
+| 1.4909        | 10.0  | 40   | 1.5115          | 0.3802   |
 
 
 ### Framework versions
 
-- Transformers 4.37.2
-- Pytorch 2.2.0+cu118
-- Datasets 2.17.0
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
 - Tokenizers 0.15.2

model.safetensors

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+oid sha256:efb3fa7679491be722be1e87ad570ff23927798efd77fb879423009110f36a87
 size 378305452

runs/Feb22_09-04-01_f04cbc234aa5/events.out.tfevents.1708592649.f04cbc234aa5.3183.0

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-size 9953
+oid sha256:26adc9c92c0b980e885110bd42a2662098317d38d9fcf16fb37adeca2f6d3c4b
+size 10825