metadata
library_name: peft
license: mit
base_model: Sunbird/asr-whisper-large-v3-salt
tags:
- base_model:adapter:Sunbird/asr-whisper-large-v3-salt
- lora
- transformers
metrics:
- wer
model-index:
- name: LG-L3
results: []
LG-L3
This model is a fine-tuned version of Sunbird/asr-whisper-large-v3-salt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7580
- Wer: 0.6216
- Cer: 0.2515
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 100
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.4753 | 10.7598 | 1000 | 0.9098 | 0.6793 | 0.3620 |
| 0.3513 | 21.5102 | 2000 | 1.0081 | 0.6811 | 0.3490 |
Framework versions
- PEFT 0.18.1
- Transformers 4.52.0
- Pytorch 2.10.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.4