|
--- |
|
language: |
|
- da |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
- hf-asr-leaderboard |
|
- whisper-event |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
base_model: openai/whisper-medium |
|
model-index: |
|
- name: Whisper Medium Danish (CV11 + FLEAURS) |
|
results: |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: mozilla-foundation/common_voice_11_0 |
|
type: mozilla-foundation/common_voice_11_0 |
|
config: da |
|
split: test |
|
metrics: |
|
- type: wer |
|
value: 13.708574434508153 |
|
name: Wer |
|
--- |
|
|
|
<!-- 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 Danish (CV11 + FLEAURS) |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0,google/fleurs da,da_dk dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5814 |
|
- Wer: 13.7086 |
|
|
|
## 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: 8e-06 |
|
- train_batch_size: 32 |
|
- 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: 500 |
|
- training_steps: 10000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
|
| 0.0265 | 3.14 | 1000 | 0.3690 | 14.7607 | |
|
| 0.0063 | 6.29 | 2000 | 0.4342 | 14.0926 | |
|
| 0.0016 | 9.43 | 3000 | 0.4847 | 14.3609 | |
|
| 0.002 | 12.58 | 4000 | 0.4919 | 14.1715 | |
|
| 0.0013 | 15.72 | 5000 | 0.5114 | 14.2294 | |
|
| 0.0014 | 18.87 | 6000 | 0.5197 | 13.9137 | |
|
| 0.0003 | 22.01 | 7000 | 0.5422 | 14.1978 | |
|
| 0.0001 | 25.16 | 8000 | 0.5659 | 13.8716 | |
|
| 0.0001 | 28.3 | 9000 | 0.5772 | 13.7296 | |
|
| 0.0001 | 31.45 | 10000 | 0.5814 | 13.7086 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.7.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
