|
--- |
|
language: |
|
- or |
|
license: apache-2.0 |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small Odia v1.3 |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: mozilla-foundation/common_voice_11_0 or |
|
type: mozilla-foundation/common_voice_11_0 |
|
config: or |
|
split: test |
|
args: or |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 29.055007052186177 |
|
--- |
|
|
|
<!-- 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 Odia v1.3 |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 or dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5570 |
|
- Wer: 29.0550 |
|
|
|
## 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: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.0025 | 50.0 | 1000 | 0.4639 | 35.3456 | |
|
| 0.0002 | 100.0 | 2000 | 0.5570 | 29.0550 | |
|
| 0.0004 | 150.0 | 3000 | 0.6208 | 30.6347 | |
|
| 0.0 | 200.0 | 4000 | 0.8745 | 33.5402 | |
|
| 0.0 | 250.0 | 5000 | 0.9035 | 33.0042 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.1 |
|
- Pytorch 1.11.0+cu102 |
|
- Datasets 2.10.0 |
|
- Tokenizers 0.13.2 |
|
|
