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whisper-small-hi-graminVoice – AI Model by CKSINGH | AlphaNeural AI
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CKSINGH
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whisper-small-hi-graminVoice
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transformers
pytorch
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
hi
CKSINGH/whisper-small-hi-firefox
finetune
apache-2.0
endpoints_compatible
us
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Whisper small Hi - CKS 2411 graminVoice
This model is a fine-tuned version of
CKSINGH/whisper-small-hi-firefox
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3893
Wer: 16.1932
Cer: 12.5576
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: 1.75e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 3000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.0115
17.24
1000
0.3435
16.9823
13.1975
0.0004
34.48
2000
0.3805
16.4186
12.5888
0.0001
51.72
3000
0.3893
16.1932
12.5576
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0