whisper-tiny-et-1114_2
This model is a fine-tuned version of openai/whisper-tiny on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6201
- Cer: 111.8908
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 2.3962 | 0.8 | 50 | 1.8128 | 42.8850 |
| 0.5309 | 1.6 | 100 | 0.6201 | 111.8908 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.0.0+cpu
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for etfeeling/whisper-tiny-et-1114_2
Base model
openai/whisper-tiny