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wh_l_v3_iv_30_70_indic_voices_52630__val_finetune_trial – AI Model by dianavdavidson | AlphaNeural AI
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wh_l_v3_iv_30_70_indic_voices_52630__val_finetune_trial
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v3
finetune
apache-2.0
endpoints_compatible
us
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wh_l_v3_iv_30_70_indic_voices_52630__val_finetune_trial
This model is a fine-tuned version of
openai/whisper-large-v3
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2075
Global Wer: 66.8131
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: 5e-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Global Wer
0.5654
0.1266
100
0.2681
32.6641
0.2321
0.2532
200
0.2259
39.0124
0.2117
0.3797
300
0.2190
112.1211
0.2030
0.5063
400
0.2126
101.8232
0.2052
0.6329
500
0.2075
66.8131
Framework versions
Transformers 5.0.0.dev0
Pytorch 2.9.0+cu126
Datasets 3.6.0
Tokenizers 0.22.2
