|
|
--- |
|
|
library_name: transformers |
|
|
language: |
|
|
- ps |
|
|
license: apache-2.0 |
|
|
base_model: openai/whisper-small |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- ihanif/common_voice_ps_20_0 |
|
|
model-index: |
|
|
- name: Whisper small Ps - ZFA |
|
|
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. --> |
|
|
|
|
|
# Whisper small Ps - ZFA |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 20.0 dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.5645 |
|
|
|
|
|
## 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: 4 |
|
|
- eval_batch_size: 4 |
|
|
- seed: 42 |
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 3.0 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:------:|:----:|:---------------:| |
|
|
| 0.9307 | 0.7418 | 500 | 0.7226 | |
|
|
| 0.4834 | 1.4837 | 1000 | 0.6105 | |
|
|
| 0.2833 | 2.2255 | 1500 | 0.5945 | |
|
|
| 0.1198 | 2.9674 | 2000 | 0.5645 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.53.3 |
|
|
- Pytorch 2.7.0+cu126 |
|
|
- Datasets 4.0.0 |
|
|
- Tokenizers 0.21.2 |
|
|
|
