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whisper-small-gu – AI Model by rajvs20 | AlphaNeural AI
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whisper-small-gu
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-gu
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9980
Wer: 101.5466
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: 16
eval_batch_size: 8
seed: 42
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
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.2455
17.5439
1000
1.2529
100.0
1.0102
35.0877
2000
1.0608
105.5149
0.894
52.6316
3000
1.0094
101.7908
0.8411
70.1754
4000
0.9980
101.5466
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu118
Datasets 3.1.0
Tokenizers 0.21.0
