metadata
language:
- ro
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Romanian CV11
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_11_0 ro
type: mozilla-foundation/common_voice_11_0
config: ro
split: test
args: ro
metrics:
- name: Wer
type: wer
value: 17.571297148114077
Whisper Small Romanian CV11
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 ro dataset. It achieves the following results on the evaluation set:
- Loss: 0.2808
- Wer: 17.5713
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: 64
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0046 | 8.01 | 1000 | 0.2808 | 17.5713 |
| 0.0006 | 17.01 | 2000 | 0.3091 | 17.6916 |
| 0.0003 | 25.02 | 3000 | 0.3267 | 17.6881 |
| 0.0002 | 34.01 | 4000 | 0.3381 | 17.7977 |
| 0.0002 | 43.0 | 5000 | 0.3428 | 17.8048 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2