End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7307692307692307
+      value: 0.782051282051282
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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:
-- Loss: 1.1856
-- Accuracy: 0.7308
+- Loss: 1.0679
+- Accuracy: 0.7821
 
 ## Model description
 
@@ -53,12 +53,10 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 4e-05
+- learning_rate: 3e-05
 - train_batch_size: 10
 - eval_batch_size: 10
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 20
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
@@ -69,18 +67,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.2013        | 1.0   | 35   | 2.1019          | 0.4359   |
-| 1.8026        | 2.0   | 70   | 1.7633          | 0.4231   |
-| 1.5604        | 3.0   | 105  | 1.5352          | 0.5897   |
-| 1.3357        | 4.0   | 140  | 1.3932          | 0.5385   |
-| 1.1434        | 5.0   | 175  | 1.4458          | 0.5256   |
-| 0.8903        | 6.0   | 210  | 1.1951          | 0.6410   |
-| 0.7595        | 7.0   | 245  | 1.0616          | 0.7051   |
-| 0.7017        | 8.0   | 280  | 1.1509          | 0.6795   |
-| 0.5767        | 9.0   | 315  | 1.0277          | 0.7436   |
-| 0.4731        | 10.0  | 350  | 0.9621          | 0.7436   |
-| 0.4788        | 11.0  | 385  | 1.0208          | 0.7051   |
-| 0.359         | 12.0  | 420  | 1.1856          | 0.7308   |
+| 2.0975        | 1.0   | 70   | 2.0767          | 0.3590   |
+| 1.6787        | 2.0   | 140  | 1.7150          | 0.4872   |
+| 1.5562        | 3.0   | 210  | 1.4839          | 0.4744   |
+| 1.2489        | 4.0   | 280  | 1.4014          | 0.6026   |
+| 0.9445        | 5.0   | 350  | 1.3975          | 0.5897   |
+| 0.8189        | 6.0   | 420  | 1.0886          | 0.7179   |
+| 0.6352        | 7.0   | 490  | 1.0411          | 0.6795   |
+| 0.6983        | 8.0   | 560  | 1.0652          | 0.6795   |
+| 0.4918        | 9.0   | 630  | 0.9020          | 0.7436   |
+| 0.534         | 10.0  | 700  | 1.1106          | 0.7308   |
+| 0.5065        | 11.0  | 770  | 0.8243          | 0.7821   |
+| 0.1966        | 12.0  | 840  | 1.0750          | 0.7436   |
+| 0.2377        | 13.0  | 910  | 1.0619          | 0.7564   |
+| 0.1434        | 14.0  | 980  | 1.1533          | 0.7436   |
+| 0.1128        | 15.0  | 1050 | 1.0679          | 0.7821   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:72f7c6630cbc4c410a4f82660c845fc05a3e8fad27aed3bb1bd5a0348ad1ac11
+oid sha256:7c1950dab00f11950f47cbce2be98654a3d5819958b7de58de451fa35e96fd7b
 size 378310592