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whisper-small-ta – AI Model by vishal2304 | AlphaNeural AI
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whisper-small-ta
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ta
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small En - Vishal Sankar Ram
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4155
Wer: 67.4277
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: 8
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: 5
training_steps: 50
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
0.08
10
0.5279
73.3638
No log
0.16
20
0.4622
70.7763
0.45
0.24
30
0.4298
69.2542
0.45
0.32
40
0.4193
67.1233
0.334
0.4
50
0.4155
67.4277
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
