|
|
--- |
|
|
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: 0.8066 |
|
|
|
|
|
## 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: 1 |
|
|
- eval_batch_size: 1 |
|
|
- 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 | |
|
|
|:-------------:|:------:|:----:|:---------------:| |
|
|
| 1.7874 | 0.1856 | 500 | 1.3995 | |
|
|
| 1.3066 | 0.3712 | 1000 | 1.2622 | |
|
|
| 1.1437 | 0.5568 | 1500 | 1.1273 | |
|
|
| 1.0676 | 0.7424 | 2000 | 1.0547 | |
|
|
| 1.0014 | 0.9280 | 2500 | 0.9770 | |
|
|
| 0.7683 | 1.1136 | 3000 | 0.9779 | |
|
|
| 0.6386 | 1.2992 | 3500 | 0.9486 | |
|
|
| 0.6103 | 1.4848 | 4000 | 0.9071 | |
|
|
| 0.599 | 1.6704 | 4500 | 0.8748 | |
|
|
| 0.5665 | 1.8560 | 5000 | 0.8525 | |
|
|
| 0.5032 | 2.0416 | 5500 | 0.8532 | |
|
|
| 0.2884 | 2.2272 | 6000 | 0.8503 | |
|
|
| 0.269 | 2.4128 | 6500 | 0.8316 | |
|
|
| 0.2784 | 2.5984 | 7000 | 0.8137 | |
|
|
| 0.236 | 2.7840 | 7500 | 0.8227 | |
|
|
| 0.2543 | 2.9696 | 8000 | 0.8066 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.56.2 |
|
|
- Pytorch 2.7.0+cu126 |
|
|
- Datasets 4.1.1 |
|
|
- Tokenizers 0.22.0 |
|
|
|
