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: 0.84
+  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: 0.9097
-- Accuracy: 0.84
+- epoch: 22.12
+- eval_accuracy: 0.8
+- eval_loss: 1.0282
+- eval_runtime: 45.3044
+- eval_samples_per_second: 2.207
+- eval_steps_per_second: 0.287
+- step: 2500
 
 ## Model description
 
@@ -52,7 +42,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 0.0005
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -61,42 +51,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - training_steps: 3000
 
-### Training results
-
-| Training Loss | Epoch | Step | Accuracy | Validation Loss |
-|:-------------:|:-----:|:----:|:--------:|:---------------:|
-| 2.0825        | 0.88  | 100  | 0.47     | 1.8392          |
-| 1.4043        | 1.77  | 200  | 0.67     | 1.2675          |
-| 1.0686        | 2.65  | 300  | 0.71     | 1.0186          |
-| 0.8037        | 3.54  | 400  | 0.74     | 0.9198          |
-| 0.6215        | 4.42  | 500  | 0.78     | 0.7636          |
-| 0.5106        | 5.31  | 600  | 0.76     | 0.7937          |
-| 0.3844        | 6.19  | 700  | 0.78     | 0.6909          |
-| 0.3043        | 7.08  | 800  | 0.77     | 0.7279          |
-| 0.2453        | 7.96  | 900  | 0.82     | 0.6447          |
-| 0.211         | 8.85  | 1000 | 0.84     | 0.6404          |
-| 0.2268        | 9.73  | 1100 | 0.77     | 0.7198          |
-| 0.1565        | 10.62 | 1200 | 0.83     | 0.6704          |
-| 0.0694        | 11.5  | 1300 | 0.83     | 0.8017          |
-| 0.0568        | 12.39 | 1400 | 0.8      | 0.7841          |
-| 0.0441        | 13.27 | 1500 | 0.81     | 0.7757          |
-| 0.0302        | 14.16 | 1600 | 0.84     | 0.7819          |
-| 0.0116        | 15.04 | 1700 | 0.83     | 0.7949          |
-| 0.0289        | 15.93 | 1800 | 0.85     | 0.8057          |
-| 0.0115        | 16.81 | 1900 | 0.83     | 0.8271          |
-| 0.0081        | 17.7  | 2000 | 0.86     | 0.8005          |
-| 0.0124        | 18.58 | 2100 | 0.8927   | 0.8             |
-| 0.0219        | 19.47 | 2200 | 0.8126   | 0.85            |
-| 0.0161        | 20.35 | 2300 | 0.8464   | 0.85            |
-| 0.0157        | 21.24 | 2400 | 0.8459   | 0.86            |
-| 0.0039        | 22.12 | 2500 | 1.0282   | 0.8             |
-| 0.0157        | 23.01 | 2600 | 0.8649   | 0.86            |
-| 0.0119        | 23.89 | 2700 | 0.8894   | 0.85            |
-| 0.0129        | 24.78 | 2800 | 0.8624   | 0.87            |
-| 0.0124        | 25.66 | 2900 | 0.8862   | 0.85            |
-| 0.0025        | 26.55 | 3000 | 0.9097   | 0.84            |
-
-
 ### Framework versions
 
 - Transformers 4.32.0

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