End of training

README.md

@@ -32,7 +32,7 @@ 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: 0.7957
+- Loss: 1.0690
 - Accuracy: 0.84
 
 ## Model description
@@ -59,25 +59,33 @@ 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: 12
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.9948        | 1.0   | 113  | 1.8574          | 0.47     |
-| 1.4469        | 2.0   | 226  | 1.4344          | 0.56     |
-| 1.1252        | 3.0   | 339  | 1.2494          | 0.62     |
-| 0.6748        | 4.0   | 452  | 0.9439          | 0.72     |
-| 0.6665        | 5.0   | 565  | 1.0755          | 0.66     |
-| 0.5936        | 6.0   | 678  | 0.8247          | 0.78     |
-| 0.3746        | 7.0   | 791  | 0.8514          | 0.74     |
-| 0.1953        | 8.0   | 904  | 0.7913          | 0.8      |
-| 0.2671        | 9.0   | 1017 | 0.7756          | 0.82     |
-| 0.053         | 10.0  | 1130 | 0.7935          | 0.84     |
-| 0.0531        | 11.0  | 1243 | 0.8997          | 0.83     |
-| 0.0449        | 12.0  | 1356 | 0.7957          | 0.84     |
+| 2.0298        | 1.0   | 113  | 1.9942          | 0.42     |
+| 1.6308        | 2.0   | 226  | 1.7948          | 0.45     |
+| 1.4047        | 3.0   | 339  | 1.6728          | 0.4      |
+| 1.0438        | 4.0   | 452  | 1.2557          | 0.63     |
+| 1.0471        | 5.0   | 565  | 1.0976          | 0.66     |
+| 0.8658        | 6.0   | 678  | 0.9722          | 0.64     |
+| 0.7625        | 7.0   | 791  | 0.7211          | 0.79     |
+| 0.6197        | 8.0   | 904  | 0.9618          | 0.71     |
+| 0.2382        | 9.0   | 1017 | 0.5927          | 0.85     |
+| 0.275         | 10.0  | 1130 | 0.9532          | 0.75     |
+| 0.2681        | 11.0  | 1243 | 1.1366          | 0.76     |
+| 0.2315        | 12.0  | 1356 | 1.1621          | 0.79     |
+| 0.0142        | 13.0  | 1469 | 0.9571          | 0.84     |
+| 0.0151        | 14.0  | 1582 | 0.9650          | 0.84     |
+| 0.1348        | 15.0  | 1695 | 1.2902          | 0.8      |
+| 0.0082        | 16.0  | 1808 | 1.0652          | 0.83     |
+| 0.0054        | 17.0  | 1921 | 0.9985          | 0.83     |
+| 0.0049        | 18.0  | 2034 | 1.0041          | 0.85     |
+| 0.0052        | 19.0  | 2147 | 1.0800          | 0.85     |
+| 0.0044        | 20.0  | 2260 | 1.0690          | 0.84     |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e640389e12ce08417a4ac5cb125042c0da1b55ce43784889c0d627a0c9c31f2d
+oid sha256:97f27569676bcc8274db7e65867e4e333d463e4a52aa53db429cbb11f1b5b4db
 size 378310592

runs/Mar11_10-26-55_de0e7a7ad4ea/events.out.tfevents.1710152821.de0e7a7ad4ea.1089.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:727fc7c761d9239e19812130d0d7c5b3a654ba3444c4a0fd0b2446c89b28c25b
+size 108798

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3aad8eae6f59f9cb5eabe4f86d29f367fb4868ae00ce7c2827b48c89febd782d
+oid sha256:52579d8029eb731e3808efe38633aa6c8a6291f9d87efcb3ef7a91490e1b0bab
 size 4920