End of training

README.md

@@ -5,18 +5,36 @@ tags:
 - generated_from_trainer
 datasets:
 - marsyas/gtzan
+metrics:
+- accuracy
 model-index:
 - name: ast-finetuned-audioset-10-10-0.4593-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: 0.92
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/soundofai/huggingface-audio-course/runs/4estu7od)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/soundofai/huggingface-audio-course/runs/nfwkhlry)
 # ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
 
 This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3597
+- Accuracy: 0.92
 
 ## Model description
 
@@ -46,6 +64,32 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 20
 
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 0.5671        | 0.9956  | 112  | 0.5463          | 0.85     |
+| 0.7083        | 2.0     | 225  | 0.6822          | 0.78     |
+| 0.2257        | 2.9956  | 337  | 0.5415          | 0.85     |
+| 0.028         | 4.0     | 450  | 0.5070          | 0.9      |
+| 0.0526        | 4.9956  | 562  | 0.8882          | 0.82     |
+| 0.0628        | 6.0     | 675  | 0.9979          | 0.79     |
+| 0.0025        | 6.9956  | 787  | 0.5942          | 0.88     |
+| 0.0005        | 8.0     | 900  | 0.6327          | 0.9      |
+| 0.0005        | 8.9956  | 1012 | 0.4033          | 0.9      |
+| 0.0009        | 10.0    | 1125 | 0.4190          | 0.88     |
+| 0.0001        | 10.9956 | 1237 | 0.3672          | 0.93     |
+| 0.0001        | 12.0    | 1350 | 0.3615          | 0.91     |
+| 0.0001        | 12.9956 | 1462 | 0.3631          | 0.92     |
+| 0.0001        | 14.0    | 1575 | 0.3597          | 0.92     |
+| 0.0001        | 14.9956 | 1687 | 0.3604          | 0.92     |
+| 0.0           | 16.0    | 1800 | 0.3589          | 0.92     |
+| 0.0           | 16.9956 | 1912 | 0.3597          | 0.92     |
+| 0.0434        | 18.0    | 2025 | 0.3590          | 0.92     |
+| 0.0           | 18.9956 | 2137 | 0.3594          | 0.92     |
+| 0.0           | 19.9111 | 2240 | 0.3597          | 0.92     |
+
+
 ### Framework versions
 
 - Transformers 4.41.0.dev0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c13767dc39cebca17e1ab337db80b9c01148c2035b3ca2dbf8562eeb2776c10b
+oid sha256:2df5b2e4a1524c6c9cee07d1eb0557c47458b441a1e6e529032062654ea33937
 size 344814656