End of training
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README.md
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---
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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datasets:
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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: 0.85
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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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# distilhubert-finetuned-gtzan
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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## Model description
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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:
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- mixed_precision_training: Native AMP
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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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| 2.0115 | 1.0 | 113 | 1.8258 | 0.5 |
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| 1.3108 | 2.0 | 226 | 1.1814 | 0.64 |
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| 1.0318 | 3.0 | 339 | 0.9287 | 0.75 |
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| 0.8711 | 4.0 | 452 | 0.8692 | 0.74 |
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| 0.5744 | 5.0 | 565 | 0.6895 | 0.79 |
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| 0.3243 | 6.0 | 678 | 0.6500 | 0.78 |
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| 0.3846 | 7.0 | 791 | 0.5873 | 0.81 |
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| 0.1419 | 8.0 | 904 | 0.5719 | 0.83 |
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| 0.2204 | 9.0 | 1017 | 0.5105 | 0.83 |
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| 0.054 | 10.0 | 1130 | 0.6217 | 0.85 |
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| 0.035 | 11.0 | 1243 | 0.5801 | 0.85 |
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### Framework versions
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- Transformers 4.35.2
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---
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license: apache-2.0
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base_model: not-lain/distilhubert-finetuned-gtzan
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tags:
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- generated_from_trainer
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datasets:
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- gtzan
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model-index:
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- name: distilhubert-finetuned-gtzan
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results: []
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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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# distilhubert-finetuned-gtzan
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This model is a fine-tuned version of [not-lain/distilhubert-finetuned-gtzan](https://huggingface.co/not-lain/distilhubert-finetuned-gtzan) on the gtzan dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.5900
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- eval_accuracy: 0.88
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- eval_runtime: 49.645
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- eval_samples_per_second: 2.014
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- eval_steps_per_second: 0.262
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- epoch: 1.0
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- step: 113
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## Model description
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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: 3
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.35.2
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model.safetensors
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