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TK_Whisper_ASR
This model is a fine-tuned version of openai/whisper-tiny on the KAN Hebrew Speech dataset. It achieves the following results on the evaluation set:
- Loss: 6.4006
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- 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: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1 | 6.4006 |
| No log | 2.0 | 2 | 6.4006 |
| No log | 3.0 | 3 | 6.4006 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.0
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Model tree for OverloadedOperator/tokomni-whisper-i2
Base model
openai/whisper-tiny