End of training

README.md

@@ -0,0 +1,91 @@
+---
+license: apache-2.0
+base_model: ntu-spml/distilhubert
+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: 0.85
+---
+
+<!-- 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 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: 0.6405
+- Accuracy: 0.85
+
+## 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: 16
+- eval_batch_size: 16
+- 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: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.2068        | 1.0   | 57   | 2.1236          | 0.41     |
+| 1.635         | 2.0   | 114  | 1.5471          | 0.57     |
+| 1.19          | 3.0   | 171  | 1.1878          | 0.68     |
+| 1.0898        | 4.0   | 228  | 1.0190          | 0.71     |
+| 0.73          | 5.0   | 285  | 0.8323          | 0.73     |
+| 0.6549        | 6.0   | 342  | 0.7693          | 0.76     |
+| 0.4567        | 7.0   | 399  | 0.7017          | 0.8      |
+| 0.379         | 8.0   | 456  | 0.7082          | 0.79     |
+| 0.2807        | 9.0   | 513  | 0.6414          | 0.81     |
+| 0.1668        | 10.0  | 570  | 0.6464          | 0.83     |
+| 0.167         | 11.0  | 627  | 0.6404          | 0.85     |
+| 0.1125        | 12.0  | 684  | 0.6338          | 0.83     |
+| 0.0893        | 13.0  | 741  | 0.6447          | 0.86     |
+| 0.0604        | 14.0  | 798  | 0.6332          | 0.85     |
+| 0.0663        | 15.0  | 855  | 0.6405          | 0.85     |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:27f46a4129a56073370ffb3aed3fb765a262acdfcdcf9e2a3e368dceb2222dfc
+oid sha256:2a879f3cc367756b0c46f6c3f62671561f7ac19c54898666d1ee4ddb911bcf6c
 size 94771728