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whisper-small-n-demo-ultimate-train-Y – AI Model by wandererupak | AlphaNeural AI
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whisper-small-n-demo-ultimate-train-Y
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ne
wandererupak/n-demo-final
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small N - Final
This model is a fine-tuned version of
openai/whisper-small
on the N Demo Final dataset. It achieves the following results on the evaluation set:
Loss: 0.4382
Wer: 54.2126
Cer: 20.4236
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
1.0737
0.9965
285
0.5120
65.7480
22.8946
0.7473
1.9930
570
0.4511
59.9606
22.3471
0.4665
2.9895
855
0.4293
54.2913
20.4884
0.3401
3.9860
1140
0.4382
54.2126
20.4236
Framework versions
Transformers 5.2.0
Pytorch 2.9.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2
