metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samromur_children
metrics:
- wer
model-index:
- name: whisper_samromur_children
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: samromur_children
type: samromur_children
config: samromur_children
split: validation
args: samromur_children
metrics:
- name: Wer
type: wer
value: 45.68657478305258
whisper_samromur_children
This model is a fine-tuned version of openai/whisper-tiny on the samromur_children dataset. It achieves the following results on the evaluation set:
- Loss: 0.6322
- Wer: 45.6866
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.4343 | 0.25 | 250 | 1.5134 | 79.0199 |
| 0.7719 | 0.5 | 500 | 0.8724 | 61.2047 |
| 0.7181 | 0.75 | 750 | 0.6547 | 47.3201 |
| 0.5734 | 1.0 | 1000 | 0.6322 | 45.6866 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.0
- Tokenizers 0.13.2