End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - marsyas/gtzan
+metrics:
+- accuracy
 model-index:
 - name: whisper-base-finetuned-gtzan
-  results: []
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: GTZAN
+      type: marsyas/gtzan
+      config: all
+      split: train
+      args: all
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.62
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,13 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.1772
-- eval_accuracy: 0.65
-- eval_runtime: 13.8087
-- eval_samples_per_second: 7.242
-- eval_steps_per_second: 0.941
-- epoch: 4.0
-- step: 452
+- Loss: 3.8944
+- Accuracy: 0.62
 
 ## Model description
 
@@ -43,13 +53,49 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 15
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.3577        | 1.0   | 200  | 1.9551          | 0.35     |
+| 2.0492        | 2.0   | 400  | 2.0333          | 0.27     |
+| 2.0331        | 3.0   | 600  | 1.9196          | 0.3      |
+| 1.3732        | 4.0   | 800  | 1.6705          | 0.34     |
+| 1.7021        | 5.0   | 1000 | 1.7006          | 0.335    |
+| 1.907         | 6.0   | 1200 | 1.7489          | 0.36     |
+| 1.611         | 7.0   | 1400 | 1.5347          | 0.45     |
+| 1.1989        | 8.0   | 1600 | 1.4835          | 0.465    |
+| 2.0049        | 9.0   | 1800 | 1.3681          | 0.525    |
+| 0.9562        | 10.0  | 2000 | 1.4732          | 0.49     |
+| 0.4145        | 11.0  | 2200 | 1.2645          | 0.555    |
+| 1.5859        | 12.0  | 2400 | 1.3992          | 0.51     |
+| 1.5115        | 13.0  | 2600 | 1.2638          | 0.545    |
+| 0.9777        | 14.0  | 2800 | 1.4003          | 0.57     |
+| 0.831         | 15.0  | 3000 | 1.3377          | 0.575    |
+| 1.3201        | 16.0  | 3200 | 1.5033          | 0.575    |
+| 1.1711        | 17.0  | 3400 | 1.5239          | 0.555    |
+| 0.4201        | 18.0  | 3600 | 1.6902          | 0.555    |
+| 0.346         | 19.0  | 3800 | 1.9733          | 0.525    |
+| 0.5619        | 20.0  | 4000 | 2.1321          | 0.555    |
+| 0.645         | 21.0  | 4200 | 2.1219          | 0.625    |
+| 0.2672        | 22.0  | 4400 | 2.2037          | 0.555    |
+| 0.2826        | 23.0  | 4600 | 2.7297          | 0.565    |
+| 0.4265        | 24.0  | 4800 | 3.3848          | 0.5      |
+| 0.0319        | 25.0  | 5000 | 3.5627          | 0.59     |
+| 0.0024        | 26.0  | 5200 | 3.7420          | 0.6      |
+| 0.0332        | 27.0  | 5400 | 3.7159          | 0.63     |
+| 0.0009        | 28.0  | 5600 | 3.8011          | 0.635    |
+| 0.0001        | 29.0  | 5800 | 3.8852          | 0.615    |
+| 0.0001        | 30.0  | 6000 | 3.8944          | 0.62     |
+
 
 ### Framework versions
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bab82acb214d117b85fd16a142cac38e96f73b45fa2d9f16dcd5407b54b82902
+oid sha256:244f56dc63fe70b69e9cb05390f52f9766fb922c85e013440e74297a26529654
 size 82930977