You can deploy this model and start earning money today!

SPEAK-ASR/
whisper-si-exp-2

Name: whisper-si-exp-2
Availability: InStock

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

pranay-j/whisper-small-hindi

apache-2.0

Views

No views yet

SPEAK-ASR/speak-whisper-small-si-base-model-hindi

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

Loss: 0.2242

Model description

WandB Project ID: toasty-universe-30
Use pranay-j/whisper-small-hindi as base model
Only used 1/3 of OpenSLR dataset
Used LoRA adapters
Previous name was SPEAK-ASR/speak-whisper-small-si-base-model-hindi

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: 16
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
0.5170	0.6527	500	0.5038
0.2936	1.3055	1000	0.2888
0.2858	1.9582	1500	0.2368
0.2248	2.6110	2000	0.2242

Framework versions

PEFT 0.18.1
Transformers 5.0.0rc2
Pytorch 2.9.1+cu128
Datasets 4.4.2
Tokenizers 0.22.2

SPEAK-ASR/whisper-si-exp-2