|
|
--- |
|
|
language: |
|
|
- lg |
|
|
license: apache-2.0 |
|
|
base_model: openai/whisper-small |
|
|
tags: |
|
|
- whisper-event |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- tericlabs |
|
|
metrics: |
|
|
- wer |
|
|
model-index: |
|
|
- name: Whisper Small ganda |
|
|
results: |
|
|
- task: |
|
|
name: Automatic Speech Recognition |
|
|
type: automatic-speech-recognition |
|
|
dataset: |
|
|
name: Yogera data |
|
|
type: tericlabs |
|
|
config: lg |
|
|
split: test |
|
|
args: lg |
|
|
metrics: |
|
|
- name: Wer |
|
|
type: wer |
|
|
value: 54.276315789473685 |
|
|
--- |
|
|
|
|
|
<!-- 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 ganda |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Yogera data dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.4937 |
|
|
- Wer: 54.2763 |
|
|
|
|
|
## 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: 1e-05 |
|
|
- train_batch_size: 16 |
|
|
- 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_steps: 500 |
|
|
- training_steps: 4000 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
|
| 0.9882 | 26.0 | 500 | 1.4647 | 54.9342 | |
|
|
| 0.0026 | 52.0 | 1000 | 1.3967 | 60.8553 | |
|
|
| 0.0002 | 78.0 | 1500 | 1.4295 | 57.8947 | |
|
|
| 0.0001 | 105.0 | 2000 | 1.4494 | 58.2237 | |
|
|
| 0.0001 | 131.0 | 2500 | 1.4713 | 53.9474 | |
|
|
| 0.0001 | 157.0 | 3000 | 1.4835 | 54.2763 | |
|
|
| 0.0001 | 184.0 | 3500 | 1.4908 | 54.2763 | |
|
|
| 0.0001 | 210.0 | 4000 | 1.4937 | 54.2763 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.37.0.dev0 |
|
|
- Pytorch 2.1.0+cu121 |
|
|
- Datasets 2.16.0 |
|
|
- Tokenizers 0.15.0 |
|
|
|
