|
|
--- |
|
|
library_name: transformers |
|
|
language: |
|
|
- en |
|
|
license: apache-2.0 |
|
|
base_model: openai/whisper-small |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- mozilla-foundation/common_voice_19_0 |
|
|
metrics: |
|
|
- wer |
|
|
model-index: |
|
|
- name: Drone Small En - Siang Yi |
|
|
results: |
|
|
- task: |
|
|
name: Automatic Speech Recognition |
|
|
type: automatic-speech-recognition |
|
|
dataset: |
|
|
name: Common Voice 19.0 |
|
|
type: mozilla-foundation/common_voice_19_0 |
|
|
args: 'config: hi, split: test' |
|
|
metrics: |
|
|
- name: Wer |
|
|
type: wer |
|
|
value: 29.365079365079367 |
|
|
--- |
|
|
|
|
|
<!-- 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. --> |
|
|
|
|
|
# Drone Small En - Siang Yi |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 19.0 dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.5365 |
|
|
- Wer: 29.3651 |
|
|
|
|
|
## 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: 16 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 2 |
|
|
- total_train_batch_size: 32 |
|
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_steps: 500 |
|
|
- training_steps: 5000 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|
|:-------------:|:------:|:----:|:---------------:|:-------:| |
|
|
| 0.0 | 500.0 | 500 | 1.3457 | 26.9841 | |
|
|
| 0.0 | 1000.0 | 1000 | 1.3710 | 26.9841 | |
|
|
| 0.0 | 1500.0 | 1500 | 1.3774 | 26.9841 | |
|
|
| 0.0 | 2000.0 | 2000 | 1.3967 | 28.5714 | |
|
|
| 0.0 | 2500.0 | 2500 | 1.4267 | 28.5714 | |
|
|
| 0.0 | 3000.0 | 3000 | 1.4544 | 28.5714 | |
|
|
| 0.0 | 3500.0 | 3500 | 1.4849 | 29.3651 | |
|
|
| 0.0 | 4000.0 | 4000 | 1.5152 | 29.3651 | |
|
|
| 0.0 | 4500.0 | 4500 | 1.5297 | 29.3651 | |
|
|
| 0.0 | 5000.0 | 5000 | 1.5365 | 29.3651 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.48.3 |
|
|
- Pytorch 2.6.0+cu124 |
|
|
- Datasets 3.2.0 |
|
|
- Tokenizers 0.21.0 |
|
|
|
