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: 0.66
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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: 1.6170
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- Accuracy: 0.66
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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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| 2.2999 | 0.97 | 7 | 2.2700 | 0.28 |
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| 2.2713 | 1.93 | 14 | 2.1859 | 0.36 |
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| 2.1478 | 2.9 | 21 | 2.0656 | 0.47 |
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| 2.0863 | 4.0 | 29 | 1.9387 | 0.53 |
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| 1.9229 | 4.97 | 36 | 1.8303 | 0.62 |
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| 1.8399 | 5.93 | 43 | 1.7453 | 0.59 |
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| 1.7467 | 6.9 | 50 | 1.6898 | 0.58 |
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| 1.7223 | 8.0 | 58 | 1.6360 | 0.6 |
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| 1.6716 | 8.97 | 65 | 1.6243 | 0.65 |
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| 1.6509 | 9.66 | 70 | 1.6170 | 0.66 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.0+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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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 sha256:389cb9d7f4a1a07dc7426490c2bf7d60390f499cb9e724815864f3be186c4c8b
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size 94783376
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