---
library_name: transformers
license: apache-2.0
base_model: sveyek/distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-2
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
model-index:
- name: distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-2-finetuned-gtzan
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-2-finetuned-gtzan

This model is a fine-tuned version of [sveyek/distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-2](https://huggingface.co/sveyek/distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-2) on the GTZAN dataset.

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3