|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-base.en |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- marsyas/gtzan |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: whisper-base.en-finetuned-gtzan |
|
results: |
|
- task: |
|
name: Audio Classification |
|
type: audio-classification |
|
dataset: |
|
name: GTZAN |
|
type: marsyas/gtzan |
|
config: default |
|
split: train |
|
args: default |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.88 |
|
--- |
|
|
|
<!-- 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-base.en-finetuned-gtzan |
|
|
|
This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the GTZAN dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6266 |
|
- Accuracy: 0.88 |
|
|
|
## 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: 12 |
|
- eval_batch_size: 12 |
|
- 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: 18 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.7396 | 1.0 | 75 | 1.6061 | 0.56 | |
|
| 0.8839 | 2.0 | 150 | 0.8286 | 0.77 | |
|
| 0.7631 | 3.0 | 225 | 0.6353 | 0.81 | |
|
| 0.4049 | 4.0 | 300 | 0.5840 | 0.82 | |
|
| 0.3031 | 5.0 | 375 | 0.4069 | 0.88 | |
|
| 0.3031 | 6.0 | 450 | 0.7152 | 0.81 | |
|
| 0.2879 | 7.0 | 525 | 0.7061 | 0.85 | |
|
| 0.0301 | 8.0 | 600 | 0.5691 | 0.89 | |
|
| 0.0311 | 9.0 | 675 | 0.6153 | 0.88 | |
|
| 0.0025 | 10.0 | 750 | 0.5463 | 0.88 | |
|
| 0.0036 | 11.0 | 825 | 0.6017 | 0.89 | |
|
| 0.0016 | 12.0 | 900 | 0.6859 | 0.85 | |
|
| 0.0014 | 13.0 | 975 | 0.5887 | 0.89 | |
|
| 0.0012 | 14.0 | 1050 | 0.6525 | 0.9 | |
|
| 0.0011 | 15.0 | 1125 | 0.6289 | 0.89 | |
|
| 0.0011 | 16.0 | 1200 | 0.6277 | 0.88 | |
|
| 0.001 | 17.0 | 1275 | 0.6274 | 0.88 | |
|
| 0.0611 | 18.0 | 1350 | 0.6266 | 0.88 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.3 |
|
- Tokenizers 0.13.3 |
|
|
