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: 0.1465

Model description

WandB ID: hardy-hill-51
Used full OpenSLR dataset + Our Youtube dataset
On eval didn't use Youtube dataset test split
Used LoRA adapters
Previous name was SPEAK-ASR/whisper-small-si-openslr_plus_youtube_data

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
0.3137	0.4254	1000	0.2489
0.2126	0.8507	2000	0.1943
0.1506	1.2761	3000	0.1737
0.1835	1.7014	4000	0.1607
0.1879	2.1268	5000	0.1538
0.1485	2.5521	6000	0.1494
0.1473	2.9775	7000	0.1465

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-4

SPEAK-ASR/whisper-small-si-openslr_plus_youtube_data