End of training, 10+1 epochs, 4 batch size, writer batch size: 1000, 1 gradient accumulation steps, learning rate: 5e-05, 30 s

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: 0.82
+  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: 0.5819
-- Accuracy: 0.82
+- eval_loss: 0.5534
+- eval_accuracy: 0.88
+- eval_runtime: 66.8648
+- eval_samples_per_second: 1.496
+- eval_steps_per_second: 0.194
+- epoch: 1.0
+- step: 113
 
 ## Model description
 
@@ -62,21 +52,6 @@ The following hyperparameters were used during training:
 - num_epochs: 9
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.9236        | 1.0   | 113  | 1.8095          | 0.51     |
-| 1.1771        | 2.0   | 226  | 1.2024          | 0.66     |
-| 1.0227        | 3.0   | 339  | 1.0044          | 0.71     |
-| 0.6925        | 4.0   | 452  | 0.8156          | 0.76     |
-| 0.5823        | 5.0   | 565  | 0.6761          | 0.79     |
-| 0.3919        | 6.0   | 678  | 0.6031          | 0.79     |
-| 0.3968        | 7.0   | 791  | 0.6003          | 0.83     |
-| 0.1533        | 8.0   | 904  | 0.5785          | 0.81     |
-| 0.2358        | 9.0   | 1017 | 0.5819          | 0.82     |
-
-
 ### Framework versions
 
 - Transformers 4.44.0