---
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
model-index:
- name: distil-whisper-large-v2-8-ls-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. -->

# distil-whisper-large-v2-8-ls-finetuned-gtzan

This model is a fine-tuned version of [rsonavane/distil-whisper-large-v2-8-ls](https://huggingface.co./rsonavane/distil-whisper-large-v2-8-ls) on the GTZAN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4346
- Accuracy: 0.91

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7999        | 1.0   | 112  | 1.0678          | 0.6      |
| 0.7487        | 1.99  | 224  | 0.8678          | 0.7      |
| 0.4251        | 3.0   | 337  | 1.0246          | 0.65     |
| 0.081         | 4.0   | 449  | 0.4755          | 0.87     |
| 0.0487        | 4.99  | 561  | 0.5131          | 0.89     |
| 0.0027        | 6.0   | 674  | 0.4820          | 0.88     |
| 0.002         | 6.99  | 786  | 0.4103          | 0.91     |
| 0.0017        | 8.0   | 899  | 0.4562          | 0.92     |
| 0.0019        | 9.0   | 1011 | 0.4374          | 0.91     |
| 0.0011        | 9.97  | 1120 | 0.4346          | 0.91     |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3