|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-medium |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- Ussen/swc-drc-katanga |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-tiny-swc-drc-kat-2 |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Ussen/swc-drc-katanga |
|
type: Ussen/swc-drc-katanga |
|
config: default |
|
split: train |
|
args: default |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 0.39136057941024316 |
|
--- |
|
|
|
<!-- 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-tiny-swc-drc-kat-2 |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Ussen/swc-drc-katanga dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8770 |
|
- Wer Ortho: 39.7101 |
|
- Wer: 0.3914 |
|
|
|
## 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: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant_with_warmup |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 4000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
|
| 0.3735 | 2.96 | 1000 | 0.6459 | 48.5374 | 0.4783 | |
|
| 0.081 | 5.93 | 2000 | 0.7478 | 38.5969 | 0.3797 | |
|
| 0.0279 | 8.89 | 3000 | 0.8653 | 38.7523 | 0.3813 | |
|
| 0.0189 | 11.85 | 4000 | 0.8770 | 39.7101 | 0.3914 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0.dev0 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.12.1 |
|
|
