whisper-tiny-en2
This model is a fine-tuned version of openai/whisper-tiny.en on hf-internal-testing/librispeech_asr_dummy. It achieves the following results on the evaluation set:
- Loss: 0.9164
- Wer Ortho: 33.1839
- Wer: 33.7778
Model description
It is fine-tuned version of whisper-tiny model for the audio/video transcription feature in PersonAI
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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 600
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0008 | 125.0 | 500 | 0.9164 | 33.1839 | 33.7778 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for CYX2003/whisper-tiny-en2
Base model
openai/whisper-tiny.en