End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: ntu-spml/distilhubert
+tags:
+- generated_from_trainer
+datasets:
+- Hoonvolution/hoons_music_data
+metrics:
+- accuracy
+model-index:
+- name: distilhubert-finetuned-hoon_music
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: Hoons music data
+      type: Hoonvolution/hoons_music_data
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.84375
+---
+
+<!-- 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-hoon_music
+
+This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the Hoons music data dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7307
+- Accuracy: 0.8438
+
+## 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: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.6265        | 1.0   | 298  | 1.7652          | 0.3792   |
+| 0.9028        | 2.0   | 596  | 1.0772          | 0.6479   |
+| 0.3958        | 3.0   | 894  | 0.7857          | 0.7812   |
+| 0.2335        | 4.0   | 1192 | 0.5601          | 0.8521   |
+| 0.1384        | 5.0   | 1490 | 0.8042          | 0.8229   |
+| 0.0517        | 6.0   | 1788 | 0.7031          | 0.85     |
+| 0.0025        | 7.0   | 2086 | 0.7261          | 0.8479   |
+| 0.0018        | 8.0   | 2384 | 0.7103          | 0.85     |
+| 0.0015        | 9.0   | 2682 | 0.7329          | 0.8458   |
+| 0.0015        | 10.0  | 2980 | 0.7307          | 0.8438   |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

model.safetensors

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