End of training
Browse files- README.md +78 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: avojarot/distilhubert-finetuned-gtzan
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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-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: 0.91
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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-finetuned-gtzan
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This model is a fine-tuned version of [avojarot/distilhubert-finetuned-gtzan](https://huggingface.co/avojarot/distilhubert-finetuned-gtzan) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3474
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- Accuracy: 0.91
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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: 3e-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: 2
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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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| 0.1376 | 1.0 | 112 | 0.3614 | 0.91 |
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| 0.018 | 1.99 | 224 | 0.3474 | 0.91 |
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### Framework versions
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- Transformers 4.35.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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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 sha256:73e82bfa6d1a212bc99cc58b5cf7e96e3a9943d686fd982f0463a0002a5fbce9
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size 94783376
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