|
--- |
|
base_model: shhossain/whisper-tiny-bn-emo |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- audiofolder |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: whisper-tiny-bn-emo2024-05-16 |
|
results: |
|
- task: |
|
name: Audio Classification |
|
type: audio-classification |
|
dataset: |
|
name: audiofolder |
|
type: audiofolder |
|
config: default |
|
split: train |
|
args: default |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.9759879350566723 |
|
--- |
|
|
|
<!-- 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-tiny-bn-emo2024-05-16 |
|
|
|
This model is a fine-tuned version of [shhossain/whisper-tiny-bn-emo](https://huggingface.co/shhossain/whisper-tiny-bn-emo) on the audiofolder dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0753 |
|
- Accuracy: 0.9760 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 128 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.1554 | 1.0 | 331 | 0.1258 | 0.9614 | |
|
| 0.096 | 2.0 | 663 | 0.0973 | 0.9693 | |
|
| 0.1093 | 3.0 | 995 | 0.0854 | 0.9737 | |
|
| 0.0903 | 4.0 | 1327 | 0.0816 | 0.9743 | |
|
| 0.0676 | 4.99 | 1655 | 0.0753 | 0.9760 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.2 |
|
|
