---
library_name: transformers
license: apache-2.0
base_model: imrajeshkr/distilhubert-finetuned-speech_commands
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- f1
model-index:
- name: distilhubert-finetuned-speech_commands-finetuned-gtzan
  results:
  - task:
      name: Audio Classification
      type: audio-classification
    dataset:
      name: audiofolder
      type: audiofolder
      config: default
      split: validation
      args: default
    metrics:
    - name: F1
      type: f1
      value: 0.9786633608199619
---

<!-- 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-speech_commands-finetuned-gtzan

This model is a fine-tuned version of [imrajeshkr/distilhubert-finetuned-speech_commands](https://huggingface.co/imrajeshkr/distilhubert-finetuned-speech_commands) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1986
- F1: 0.9787

## 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: 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: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.1816        | 1.0   | 4861  | 0.1493          | 0.9679 |
| 0.0001        | 2.0   | 9722  | 0.2278          | 0.9640 |
| 0.0           | 3.0   | 14583 | 0.2210          | 0.9667 |
| 0.0005        | 4.0   | 19444 | 0.1952          | 0.9749 |
| 0.1422        | 5.0   | 24305 | 0.1884          | 0.9762 |
| 0.0           | 6.0   | 29166 | 0.1888          | 0.9780 |
| 0.0           | 7.0   | 34027 | 0.2164          | 0.9728 |
| 0.0           | 8.0   | 38888 | 0.2039          | 0.9774 |
| 0.0           | 9.0   | 43749 | 0.1925          | 0.9800 |
| 0.0           | 10.0  | 48610 | 0.1986          | 0.9787 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.2.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0