|
--- |
|
language: |
|
- id |
|
license: apache-2.0 |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_12_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper medium ID - Augmented |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: mozilla-foundation/common_voice_12_0 |
|
type: mozilla-foundation/common_voice_12_0 |
|
config: id |
|
split: test |
|
args: id |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 99.75899946726197 |
|
--- |
|
|
|
<!-- 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 medium ID - Augmented |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_12_0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4065 |
|
- Wer: 99.7590 |
|
|
|
## 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: 1 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 100 |
|
- training_steps: 1000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.4562 | 0.02 | 200 | 1.0805 | 106.6186 | |
|
| 1.2687 | 0.05 | 400 | 0.8628 | 90.1909 | |
|
| 1.2806 | 0.07 | 600 | 0.8015 | 98.6233 | |
|
| 0.9542 | 0.1 | 800 | 0.5424 | 99.7379 | |
|
| 0.6867 | 0.12 | 1000 | 0.4065 | 99.7590 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.29.0.dev0 |
|
- Pytorch 2.0.0+cu117 |
|
- Datasets 2.10.1 |
|
- Tokenizers 0.13.2 |
|
|
