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SPEAK-ASR/
whisper-si-exp-3

Name: whisper-si-exp-3
Availability: InStock

SPEAK-ASR/openslr-sinhala-asr-preprocessed-1

SPEAK-ASR/openslr-sinhala-asr-preprocessed-2

SPEAK-ASR/openslr-sinhala-asr-preprocessed-3

openai/whisper-small

apache-2.0

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SPEAK-ASR/speak-whisper-small-si-full-dataset

This model is a fine-tuned version of openai/whisper-small on the Whisper Small - Sinhala ASR Fine-Tuned dataset. It achieves the following results on the evaluation set:

Loss: 0.1504

Model description

WandB ID: azure-river-47
Used full OpenSLR dataset
Used LoRA adapters
Previous name was SPEAK-ASR/speak-whisper-small-si-full-dataset

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: 0.0001
train_batch_size: 64
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2372	0.4322	1000	0.2510	28.1934
0.2014	0.8643	2000	0.1958	22.7679
0.1824	1.2965	3000	0.1746	20.6799
0.1595	1.7286	4000	0.1651
0.1741	2.1608	5000	0.1560
0.1744	2.5929	6000	0.1504

Framework versions

PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2

SPEAK-ASR/whisper-si-exp-3