End of training
Browse files- README.md +87 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: ntu-spml/distilhubert
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tags:
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- generated_from_trainer
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datasets:
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- marsyas/gtzan
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metrics:
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- accuracy
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model-index:
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- name: distilhubert-finetuned-gtzan
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results:
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- task:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: GTZAN
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type: marsyas/gtzan
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config: all
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split: train
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args: all
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.88
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# distilhubert-finetuned-gtzan
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4487
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- Accuracy: 0.88
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.74 | 1.0 | 112 | 0.6136 | 0.81 |
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| 0.6137 | 2.0 | 225 | 0.7364 | 0.76 |
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| 0.5996 | 3.0 | 337 | 0.5322 | 0.88 |
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| 0.516 | 4.0 | 450 | 0.9805 | 0.73 |
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| 0.4013 | 5.0 | 562 | 0.5349 | 0.86 |
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| 0.1779 | 6.0 | 675 | 0.6328 | 0.82 |
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| 0.1356 | 7.0 | 787 | 0.5007 | 0.85 |
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| 0.1938 | 8.0 | 900 | 0.5199 | 0.86 |
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| 0.3675 | 9.0 | 1012 | 0.4209 | 0.9 |
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| 0.1299 | 9.96 | 1120 | 0.4487 | 0.88 |
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 94783376
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c2a59e61c977668e7047c6ab9ff2385e6f33a5ffd2aa1dc91b2d2c3d2ea81fe
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size 94783376
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