| language |
license |
tags |
datasets |
metrics |
model-index |
|
apache-2.0 |
whisper-event |
generated_from_trainer |
|
mozilla-foundation/common_voice_11_0 |
|
|
| name |
results |
Whisper Medium Japanese |
| task |
dataset |
metrics |
| type |
name |
automatic-speech-recognition |
Automatic Speech Recognition |
|
| name |
type |
config |
split |
args |
mozilla-foundation/common_voice_11_0 ja |
mozilla-foundation/common_voice_11_0 |
ja |
test |
ja |
|
| type |
value |
name |
wer |
9.035472972972974 |
WER |
|
| type |
value |
name |
cer |
5.61 |
CER |
|
|
|
| task |
dataset |
metrics |
| type |
name |
automatic-speech-recognition |
Automatic Speech Recognition |
|
| name |
type |
config |
split |
google/fleurs ja_jp |
google/fleurs |
ja_jp |
test |
|
| type |
value |
name |
wer |
13.56 |
WER |
|
| type |
value |
name |
cer |
8.01 |
CER |
|
|
|
|
|
|
openai/whisper-medium
This model is a fine-tuned version of openai/whisper-medium on the common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
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: 16
- 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
Wer |
| 0.0392 |
3.03 |
1000 |
0.2023 |
10.1807 |
| 0.0036 |
7.01 |
2000 |
0.2478 |
9.4409 |
| 0.0013 |
10.04 |
3000 |
0.2791 |
9.1014 |
| 0.0002 |
14.01 |
4000 |
0.2970 |
9.0625 |
| 0.0002 |
17.04 |
5000 |
0.3029 |
9.0355 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
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