|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- fleurs |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: openai/whisper-small |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: fleurs |
|
type: fleurs |
|
config: ps_af |
|
split: test |
|
args: ps_af |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 56.75696125907991 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# openai/whisper-small |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the fleurs dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.2710 |
|
- Wer: 56.7570 |
|
|
|
## 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: 3e-07 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 32 |
|
- 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: 800 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:-------:| |
|
| 2.1183 | 3.7 | 100 | 1.3170 | 76.9522 | |
|
| 0.8565 | 7.41 | 200 | 0.9367 | 61.9930 | |
|
| 0.2246 | 11.11 | 300 | 0.9642 | 58.8302 | |
|
| 0.054 | 14.81 | 400 | 1.0876 | 57.9903 | |
|
| 0.0159 | 18.52 | 500 | 1.1798 | 57.8768 | |
|
| 0.0045 | 22.22 | 600 | 1.2309 | 56.6510 | |
|
| 0.0026 | 100.0 | 700 | 1.2581 | 56.8478 | |
|
| 0.0023 | 114.29 | 800 | 1.2710 | 56.7570 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.7.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
