Whisper large LV - Felikss Kleins
This model is a fine-tuned version of AiLab-IMCS-UL/whisper-large-v3-lv-late-cv19 on the Recorded Voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.1620
- Wer: 10.8617
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: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0032 | 36.0360 | 1000 | 0.1513 | 12.6354 |
| 0.0007 | 72.0721 | 2000 | 0.1620 | 10.8617 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for FelixK7/whisper-large-lv-2
Base model
openai/whisper-large-v3