End of training

README.md

@@ -5,24 +5,9 @@ tags:
 - generated_from_trainer
 datasets:
 - marsyas/gtzan
-metrics:
-- accuracy
 model-index:
 - name: distilhubert-finetuned-gtzan
-  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: 0.86
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +17,13 @@ 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 GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5669
-- Accuracy: 0.86
+- eval_loss: 0.4710
+- eval_accuracy: 0.87
+- eval_runtime: 52.8306
+- eval_samples_per_second: 1.893
+- eval_steps_per_second: 0.246
+- epoch: 16.0
+- step: 1808
 
 ## Model description
 
@@ -58,40 +48,9 @@ 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: 0.2
+- lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 25
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.2857        | 1.0   | 113  | 2.2745          | 0.25     |
-| 2.1795        | 2.0   | 226  | 2.1382          | 0.47     |
-| 1.8958        | 3.0   | 339  | 1.8220          | 0.54     |
-| 1.6475        | 4.0   | 452  | 1.5569          | 0.65     |
-| 1.4246        | 5.0   | 565  | 1.3421          | 0.69     |
-| 1.0504        | 6.0   | 678  | 1.1615          | 0.7      |
-| 1.1759        | 7.0   | 791  | 1.0113          | 0.76     |
-| 0.8636        | 8.0   | 904  | 0.8411          | 0.75     |
-| 0.914         | 9.0   | 1017 | 0.7973          | 0.77     |
-| 0.5748        | 10.0  | 1130 | 0.8049          | 0.79     |
-| 0.4442        | 11.0  | 1243 | 0.7253          | 0.79     |
-| 0.4276        | 12.0  | 1356 | 0.6600          | 0.8      |
-| 0.3435        | 13.0  | 1469 | 0.5876          | 0.83     |
-| 0.2779        | 14.0  | 1582 | 0.6596          | 0.82     |
-| 0.2661        | 15.0  | 1695 | 0.5582          | 0.82     |
-| 0.179         | 16.0  | 1808 | 0.5933          | 0.8      |
-| 0.1559        | 17.0  | 1921 | 0.5518          | 0.8      |
-| 0.1914        | 18.0  | 2034 | 0.5229          | 0.82     |
-| 0.0899        | 19.0  | 2147 | 0.5910          | 0.85     |
-| 0.2234        | 20.0  | 2260 | 0.5277          | 0.86     |
-| 0.0578        | 21.0  | 2373 | 0.5493          | 0.84     |
-| 0.0488        | 22.0  | 2486 | 0.5698          | 0.85     |
-| 0.0322        | 23.0  | 2599 | 0.5713          | 0.86     |
-| 0.0331        | 24.0  | 2712 | 0.5747          | 0.85     |
-| 0.1019        | 25.0  | 2825 | 0.5669          | 0.86     |
-
-
 ### Framework versions
 
 - Transformers 4.34.1

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:29cc6bd93a8a890391801ac40d196137264246cef7ddd939dfa6d07f242dd668
 size 94783885