End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - marsyas/gtzan
+metrics:
+- accuracy
 model-index:
 - name: music-genre-classifer-20-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: 0.81
 ---
 
 <!-- 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 [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.8423
-- eval_accuracy: 0.79
-- eval_runtime: 61.8646
-- eval_samples_per_second: 1.616
-- eval_steps_per_second: 0.21
-- epoch: 9.0
-- step: 1017
+- Loss: 1.1602
+- Accuracy: 0.81
 
 ## Model description
 
@@ -49,9 +59,45 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 10
+- num_epochs: 30
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| 2.0297        | 1.0   | 113  | 0.46     | 2.0056          |
+| 1.6252        | 2.0   | 226  | 0.61     | 1.5821          |
+| 1.4001        | 3.0   | 339  | 0.62     | 1.3967          |
+| 1.0201        | 4.0   | 452  | 0.77     | 1.1288          |
+| 1.0074        | 5.0   | 565  | 0.69     | 1.0933          |
+| 0.8466        | 6.0   | 678  | 0.76     | 0.9162          |
+| 0.6966        | 7.0   | 791  | 0.79     | 0.9122          |
+| 0.5324        | 8.0   | 904  | 0.82     | 0.7715          |
+| 0.6692        | 9.0   | 1017 | 1.0549   | 0.71            |
+| 0.7181        | 10.0  | 1130 | 0.8758   | 0.76            |
+| 0.5585        | 11.0  | 1243 | 1.0753   | 0.7             |
+| 0.4479        | 12.0  | 1356 | 1.1517   | 0.7             |
+| 0.3145        | 13.0  | 1469 | 0.8475   | 0.79            |
+| 0.8197        | 14.0  | 1582 | 0.8852   | 0.78            |
+| 0.4665        | 15.0  | 1695 | 1.0134   | 0.77            |
+| 0.2371        | 16.0  | 1808 | 1.0250   | 0.75            |
+| 0.3823        | 17.0  | 1921 | 0.9516   | 0.81            |
+| 0.5478        | 18.0  | 2034 | 1.2008   | 0.77            |
+| 0.3165        | 19.0  | 2147 | 1.0737   | 0.8             |
+| 0.1403        | 20.0  | 2260 | 0.9801   | 0.83            |
+| 0.2754        | 21.0  | 2373 | 1.0137   | 0.82            |
+| 0.2649        | 22.0  | 2486 | 1.2249   | 0.77            |
+| 0.0686        | 23.0  | 2599 | 1.3234   | 0.77            |
+| 0.0073        | 24.0  | 2712 | 1.2360   | 0.8             |
+| 0.0068        | 25.0  | 2825 | 1.1338   | 0.81            |
+| 0.0058        | 26.0  | 2938 | 1.2976   | 0.79            |
+| 0.0054        | 27.0  | 3051 | 1.1782   | 0.83            |
+| 0.0047        | 28.0  | 3164 | 1.0677   | 0.84            |
+| 0.0045        | 29.0  | 3277 | 1.1128   | 0.83            |
+| 0.0036        | 30.0  | 3390 | 1.1602   | 0.81            |
+
+
 ### Framework versions
 
 - Transformers 4.38.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c3700965f30a6eb65c115adfe9794e368774619311a7c395858ff9821d7d59c8
+oid sha256:a07bfc18e3ae4533caa81956666f50d16d7be6597c844fe7a7cbe5319b3ad53b
 size 378310592