End of training

README.md

@@ -0,0 +1,86 @@
+---
+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: 0.88
+---
+
+<!-- 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: 0.4870
+- Accuracy: 0.88
+
+## 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: 10
+- eval_batch_size: 10
+- 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.0372        | 1.0   | 90   | 1.9388          | 0.45     |
+| 1.3497        | 2.0   | 180  | 1.3371          | 0.64     |
+| 0.9339        | 3.0   | 270  | 1.0227          | 0.7      |
+| 0.8379        | 4.0   | 360  | 0.8165          | 0.79     |
+| 0.6075        | 5.0   | 450  | 0.6923          | 0.84     |
+| 0.4431        | 6.0   | 540  | 0.5944          | 0.87     |
+| 0.3309        | 7.0   | 630  | 0.5684          | 0.84     |
+| 0.1852        | 8.0   | 720  | 0.4463          | 0.88     |
+| 0.2007        | 9.0   | 810  | 0.4671          | 0.9      |
+| 0.1486        | 10.0  | 900  | 0.4870          | 0.88     |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:de72f548e808f4a17040b1202bb4acc45dbafced9f2f0b33bf7e875a59c032bd
+oid sha256:c57768884613d6234ac60f9e9de262c962c1f49e9a28ecc1f147b53f3e0045bd
 size 94771728