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KasuleTrevor/
cdli-whisper-lg-sunbird-decoder-a40

Name: cdli-whisper-lg-sunbird-decoder-a40
Availability: InStock

transformers

safetensors

whisper

automatic-speech-recognition

generated_from_trainer

cdli/ugandan_english_nonstandard_speech_v1.0

Sunbird/asr-whisper-large-v3-salt

finetune

mit

endpoints_compatible

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cdli-whisper-lg-sunbird-decoder-a40

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: 0.7613
Wer: 0.5656
Cer: 0.3069
test_wer = 0.4106
test_cer = 0.1662

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: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
training_steps: 2000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.7206	1.3555	500	0.7973	0.5930	0.3265
0.7191	2.7110	1000	0.7640	0.5767	0.3136
0.6502	4.0651	1500	0.7631	0.5714	0.3097
0.637	5.4206	2000	0.7613	0.5656	0.3069

Framework versions

Transformers 4.52.0
Pytorch 2.7.1+cu118
Datasets 3.6.0
Tokenizers 0.21.4

KasuleTrevor/cdli-whisper-lg-sunbird-decoder-a40

cdli-whisper-lg-sunbird-decoder-a40

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

KasuleTrevor/
cdli-whisper-lg-sunbird-decoder-a40