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---
license: apache-2.0
base_model: not-lain/distilhubert-finetuned-gtzan
tags:
- generated_from_trainer
datasets:
- gtzan
model-index:
- name: distilhubert-finetuned-gtzan
results: []
---
<!-- 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-gtzan
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.
It achieves the following results on the evaluation set:
- eval_loss: 0.5900
- eval_accuracy: 0.88
- eval_runtime: 49.645
- eval_samples_per_second: 2.014
- eval_steps_per_second: 0.262
- epoch: 1.0
- step: 113
## 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: 3
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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