|
--- |
|
language: |
|
- de |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_16_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Tiny CV de |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 11.0 de 5% |
|
type: mozilla-foundation/common_voice_16_0 |
|
config: de |
|
split: None |
|
args: 'config: de, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 72.91819291819291 |
|
--- |
|
|
|
<!-- 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 CV de |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 de 5% dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7117 |
|
- Wer: 72.9182 |
|
|
|
## 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: 1.35e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 250 |
|
- training_steps: 2000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:-------:| |
|
| 0.6076 | 0.2252 | 250 | 0.8347 | 76.3126 | |
|
| 0.5955 | 0.4505 | 500 | 0.7893 | 79.1697 | |
|
| 0.5179 | 0.6757 | 750 | 0.7593 | 82.1978 | |
|
| 0.5189 | 0.9009 | 1000 | 0.7370 | 73.0159 | |
|
| 0.3644 | 1.1261 | 1250 | 0.7254 | 84.1270 | |
|
| 0.394 | 1.3514 | 1500 | 0.7183 | 73.4066 | |
|
| 0.3672 | 1.5766 | 1750 | 0.7152 | 73.1136 | |
|
| 0.3751 | 1.8018 | 2000 | 0.7117 | 72.9182 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
