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LaoASR-Small-Full – AI Model by 8qii | AlphaNeural AI
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8qii
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LaoASR-Small-Full
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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LaoASR-Small-Full
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0192
Wer: 209.9279
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 200
training_steps: 1500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.7284
0.7762
300
0.1626
329.4228
0.2387
1.5511
600
0.0550
286.3237
0.1132
2.3260
900
0.0346
167.0954
0.0518
3.1009
1200
0.0233
231.6343
0.0458
3.8771
1500
0.0192
209.9279
Framework versions
Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.8.4
Tokenizers 0.22.2
