|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-base |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice_16_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: breeze-listen-dsw-base-id |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: common_voice_16_0 |
|
type: common_voice_16_0 |
|
config: id |
|
split: test |
|
args: id |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 33.82555892906431 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# breeze-listen-dsw-base-id |
|
|
|
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice_16_0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6528 |
|
- Wer: 33.8256 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 2000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.5452 | 1.02 | 200 | 0.5464 | 35.1688 | |
|
| 0.3445 | 2.04 | 400 | 0.5405 | 34.0694 | |
|
| 0.1397 | 3.07 | 600 | 0.5347 | 32.8273 | |
|
| 0.0988 | 5.01 | 800 | 0.5654 | 35.6749 | |
|
| 0.077 | 6.03 | 1000 | 0.5786 | 33.9452 | |
|
| 0.0338 | 7.05 | 1200 | 0.6050 | 33.9820 | |
|
| 0.0137 | 8.08 | 1400 | 0.6221 | 34.1016 | |
|
| 0.0153 | 10.02 | 1600 | 0.6431 | 33.9038 | |
|
| 0.0125 | 11.04 | 1800 | 0.6514 | 33.7520 | |
|
| 0.0092 | 12.06 | 2000 | 0.6528 | 33.8256 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.0.dev0 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.16.2.dev0 |
|
- Tokenizers 0.15.0 |
|
|
