|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-medium.en |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- marsyas/gtzan |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: whisper-medium.en-finetuned-gtzan |
|
results: |
|
- task: |
|
name: Audio Classification |
|
type: audio-classification |
|
dataset: |
|
name: GTZAN |
|
type: marsyas/gtzan |
|
config: all |
|
split: train |
|
args: all |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.95 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# whisper-medium.en-finetuned-gtzan |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the GTZAN dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2885 |
|
- Accuracy: 0.95 |
|
|
|
## 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: 1e-05 |
|
- train_batch_size: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- 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: 16 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.7711 | 1.0 | 112 | 1.6556 | 0.52 | |
|
| 0.5477 | 2.0 | 225 | 0.4738 | 0.85 | |
|
| 0.535 | 3.0 | 337 | 0.3137 | 0.92 | |
|
| 0.231 | 4.0 | 450 | 0.3613 | 0.9 | |
|
| 0.1923 | 5.0 | 562 | 0.2885 | 0.95 | |
|
| 0.0584 | 6.0 | 675 | 0.6531 | 0.86 | |
|
| 0.1783 | 7.0 | 787 | 0.5717 | 0.9 | |
|
| 0.0022 | 8.0 | 900 | 0.4205 | 0.91 | |
|
| 0.1032 | 9.0 | 1012 | 0.4984 | 0.91 | |
|
| 0.0011 | 10.0 | 1125 | 0.3778 | 0.94 | |
|
| 0.0104 | 11.0 | 1237 | 0.3709 | 0.94 | |
|
| 0.0011 | 12.0 | 1350 | 0.4564 | 0.92 | |
|
| 0.0009 | 13.0 | 1462 | 0.3796 | 0.94 | |
|
| 0.0008 | 14.0 | 1575 | 0.3880 | 0.94 | |
|
| 0.0008 | 15.0 | 1687 | 0.3930 | 0.94 | |
|
| 0.0008 | 15.93 | 1792 | 0.3955 | 0.94 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.0.dev0 |
|
- Pytorch 2.1.2+cu118 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
|
|
