End of training

README.md

@@ -0,0 +1,83 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- gtzan
+metrics:
+- accuracy
+model-index:
+- name: distilhubert-finetuned-gtzan
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: gtzan
+      type: gtzan
+      config: all
+      split: train
+      args: all
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.75
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# distilhubert-finetuned-gtzan
+
+This model was trained from scratch on the gtzan dataset.
+It achieves the following results on the evaluation set:
+- Accuracy: 0.75
+- Loss: 0.7487
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| 1.9415        | 1.0   | 113  | 0.55     | 1.8500          |
+| 1.3078        | 2.0   | 226  | 0.58     | 1.3794          |
+| 1.1238        | 3.0   | 339  | 0.65     | 1.0919          |
+| 0.788         | 4.0   | 452  | 0.68     | 1.0212          |
+| 0.5932        | 5.0   | 565  | 0.69     | 0.8691          |
+| 0.4042        | 6.0   | 678  | 0.71     | 0.8527          |
+| 0.3421        | 7.0   | 791  | 0.75     | 0.7737          |
+| 0.223         | 8.0   | 904  | 0.75     | 0.8463          |
+| 0.1162        | 9.0   | 1017 | 0.77     | 0.7808          |
+| 0.0863        | 10.0  | 1130 | 0.75     | 0.7487          |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.1.2
+- Datasets 2.16.1
+- Tokenizers 0.13.2

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "ntu-spml/distilhubert",
+  "_name_or_path": "./distilhubert-finetuned-gtzan",
   "activation_dropout": 0.1,
   "apply_spec_augment": false,
   "architectures": [

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