whisper-small-sinhala-general-185k – AI Model by janiduchamika | AlphaNeural AI

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janiduchamika/
whisper-small-sinhala-general-185k

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automatic-speech-recognition

generated_from_trainer

openai/whisper-small

endpoints_compatible

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whisper-small-sinhala-general-185k

This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0724
Wer: 25.0275

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: 64
eval_batch_size: 32
seed: 42
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: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1493	0.3837	1000	0.1486	43.1593
0.1053	0.7675	2000	0.1040	32.5843
0.0773	1.1512	3000	0.0883	29.3236
0.071	1.5349	4000	0.0818	28.5305
0.0666	1.9186	5000	0.0767	26.6799
0.052	2.3024	6000	0.0744	25.3139
0.0474	2.6861	7000	0.0724	25.0275

Framework versions

Transformers 4.57.1
Pytorch 2.9.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1