End of training

README.md

@@ -8,7 +8,7 @@ datasets:
 metrics:
 - accuracy
 model-index:
-- name: wav2vec2-base-finetuned-gtzan
+- name: wav2vec2-base-finetuned-gtzan-v2
   results:
   - task:
       name: Audio Classification
@@ -22,18 +22,18 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.86
+      value: 0.87
 ---
 
 <!-- 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. -->
 
-# wav2vec2-base-finetuned-gtzan
+# wav2vec2-base-finetuned-gtzan-v2
 
 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: 0.5540
-- Accuracy: 0.86
+- Loss: 0.5042
+- Accuracy: 0.87
 
 ## Model description
 
@@ -66,16 +66,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.8972        | 1.0   | 113  | 1.8491          | 0.37     |
-| 1.2539        | 2.0   | 226  | 1.4305          | 0.61     |
-| 1.169         | 3.0   | 339  | 1.1600          | 0.64     |
-| 0.7512        | 4.0   | 452  | 1.0797          | 0.68     |
-| 0.6487        | 5.0   | 565  | 0.9859          | 0.65     |
-| 0.6203        | 6.0   | 678  | 0.7366          | 0.78     |
-| 0.3452        | 7.0   | 791  | 0.6007          | 0.84     |
-| 0.1966        | 8.0   | 904  | 0.6751          | 0.79     |
-| 0.173         | 9.0   | 1017 | 0.5493          | 0.84     |
-| 0.087         | 10.0  | 1130 | 0.5540          | 0.86     |
+| 1.9411        | 1.0   | 113  | 1.8991          | 0.48     |
+| 1.1479        | 2.0   | 226  | 1.4266          | 0.55     |
+| 1.1104        | 3.0   | 339  | 0.9525          | 0.71     |
+| 0.7571        | 4.0   | 452  | 1.1713          | 0.65     |
+| 0.6203        | 5.0   | 565  | 0.8307          | 0.76     |
+| 0.5817        | 6.0   | 678  | 0.6269          | 0.84     |
+| 0.3863        | 7.0   | 791  | 0.5911          | 0.85     |
+| 0.1104        | 8.0   | 904  | 0.5373          | 0.86     |
+| 0.2236        | 9.0   | 1017 | 0.4841          | 0.88     |
+| 0.0707        | 10.0  | 1130 | 0.5042          | 0.87     |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5ece9d2c3f1ad678cf3b4a8578f82e271ee196ec7f371623d2d73edc4c819a71
+oid sha256:e4f2c9996d39cfb2e72a1d85b68608616a03f6f049e517ee3f8e644b3ae31bdf
 size 378310592