End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.39097744360902253
+      value: 0.2708333333333333
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8429
-- Accuracy: 0.3910
+- Loss: 2.0374
+- Accuracy: 0.2708
 
 ## Model description
 
@@ -58,7 +58,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.7
+- lr_scheduler_warmup_ratio: 0.6
 - num_epochs: 14
 - mixed_precision_training: Native AMP
 
@@ -66,20 +66,20 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.5546        | 1.0   | 67   | 2.5463          | 0.1729   |
-| 2.4756        | 2.0   | 134  | 2.4641          | 0.1654   |
-| 2.3726        | 3.0   | 201  | 2.4065          | 0.2030   |
-| 2.464         | 4.0   | 268  | 2.3753          | 0.2256   |
-| 2.2215        | 5.0   | 335  | 2.3161          | 0.2481   |
-| 2.346         | 6.0   | 402  | 2.2739          | 0.2556   |
-| 1.8318        | 7.0   | 469  | 2.0260          | 0.3383   |
-| 1.9612        | 8.0   | 536  | 1.8926          | 0.3684   |
-| 1.7699        | 9.0   | 603  | 1.8646          | 0.3835   |
-| 1.5864        | 10.0  | 670  | 2.0469          | 0.3083   |
-| 1.5774        | 11.0  | 737  | 1.8156          | 0.3609   |
-| 1.5087        | 12.0  | 804  | 1.8061          | 0.3609   |
-| 1.2649        | 13.0  | 871  | 1.8970          | 0.3383   |
-| 1.2179        | 14.0  | 938  | 1.8429          | 0.3910   |
+| 2.4741        | 1.0   | 48   | 2.4767          | 0.1042   |
+| 2.4794        | 2.0   | 96   | 2.4594          | 0.1042   |
+| 2.4795        | 3.0   | 144  | 2.4242          | 0.1042   |
+| 2.3636        | 4.0   | 192  | 2.3929          | 0.1042   |
+| 2.2958        | 5.0   | 240  | 2.3036          | 0.1667   |
+| 2.2177        | 6.0   | 288  | 2.1868          | 0.1771   |
+| 1.9929        | 7.0   | 336  | 2.0746          | 0.2396   |
+| 1.9842        | 8.0   | 384  | 2.0638          | 0.2292   |
+| 1.934         | 9.0   | 432  | 2.0566          | 0.2292   |
+| 1.7302        | 10.0  | 480  | 2.1105          | 0.2083   |
+| 1.6971        | 11.0  | 528  | 1.9927          | 0.2292   |
+| 1.4807        | 12.0  | 576  | 2.0434          | 0.2396   |
+| 1.3496        | 13.0  | 624  | 2.0579          | 0.2708   |
+| 1.3694        | 14.0  | 672  | 2.0374          | 0.2708   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c64e1abcaf3e0e03bc726bb8f2fe3f2fccb1b5028f3c8b75392bed36caddaa11
+oid sha256:238a2f6772aeea44e54563286490c4b7389dcffb39a7205b254b52ae53612a1e
 size 94773784