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whisper-indian-test – AI Model by Hakrim | AlphaNeural AI
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Hakrim
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whisper-indian-test
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-indian-test
This model is a fine-tuned version of
openai/whisper-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4484
Wer: 0.1062
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
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: 5
training_steps: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.9133
0.0810
5
0.7662
0.1159
0.6877
0.1619
10
0.5868
0.1098
0.5474
0.2429
15
0.4792
0.1089
0.4831
0.3239
20
0.4484
0.1062
Framework versions
Transformers 4.52.3
Pytorch 2.5.1+cu121
Datasets 3.6.0
Tokenizers 0.21.1
