|
--- |
|
license: apache-2.0 |
|
base_model: bookbot/distil-ast-audioset |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- Nooon/Donate_a_cry |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: distil-ast-audioset-finetuned-cry |
|
results: |
|
- task: |
|
name: Audio Classification |
|
type: audio-classification |
|
dataset: |
|
name: DonateACry |
|
type: Nooon/Donate_a_cry |
|
config: train |
|
split: train |
|
args: train |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.9347826086956522 |
|
--- |
|
|
|
<!-- 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-ast-audioset-finetuned-cry |
|
|
|
This model is a fine-tuned version of [bookbot/distil-ast-audioset](https://huggingface.co/bookbot/distil-ast-audioset) on the DonateACry dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2731 |
|
- Accuracy: 0.9348 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.05 |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.424 | 1.0 | 46 | 0.2375 | 0.9565 | |
|
| 0.5755 | 2.0 | 92 | 0.3218 | 0.9565 | |
|
| 0.5466 | 3.0 | 138 | 0.1731 | 0.9565 | |
|
| 0.3545 | 4.0 | 184 | 0.2719 | 0.9348 | |
|
| 0.0759 | 5.0 | 230 | 0.1582 | 0.9348 | |
|
| 0.0178 | 6.0 | 276 | 0.2576 | 0.9130 | |
|
| 0.0032 | 7.0 | 322 | 0.2695 | 0.9348 | |
|
| 0.0014 | 8.0 | 368 | 0.2496 | 0.9348 | |
|
| 0.0005 | 9.0 | 414 | 0.2639 | 0.9348 | |
|
| 0.0004 | 10.0 | 460 | 0.2731 | 0.9348 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.0 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.14.1 |
|
|
