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: 0.4380
- Wer: 25.9259
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: 500
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.036 | 48.7805 | 1000 | 0.4135 | 19.7531 |
| 0.0196 | 97.5610 | 2000 | 0.4086 | 22.2222 |
| 0.0126 | 146.3415 | 3000 | 0.4710 | 23.4568 |
| 0.0117 | 195.1220 | 4000 | 0.4380 | 25.9259 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.3.1
- Datasets 3.1.0
- Tokenizers 0.20.2
- Downloads last month
- 111
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for FelixK7/whisper-large-lv
Base model
openai/whisper-large-v3