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LinguaSpanApp/
whisper-base-yor-oct2-2025

Name: whisper-base-yor-oct2-2025
Availability: InStock

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whisper-base-yor-oct2-2025

This model is a fine-tuned version of LinguaSpanApp/whisper-base-yor-sep29-2025 on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 500
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.0605	0.4655	500	0.0418	0.3895
0.0785	0.9311	1000	0.0361	0.5171
0.0666	1.3966	1500	0.0361	0.1514
0.0614	1.8622	2000	0.0339	0.1286
0.0478	2.3277	2500	0.0282	0.1114
0.0521	2.7933	3000	0.0302	0.1505
0.0446	3.2588	3500	0.0220	0.1943
0.0441	3.7244	4000	0.0195	0.1914
0.0363	4.1899	4500	0.0214	0.2448
0.0354	4.6555	5000	0.0162	0.7867