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whisper-small-hi – AI Model by Wx971025 | AlphaNeural AI
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whisper-small-hi
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
hi
mozilla-foundation/common_voice_11_0
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-hi
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 4.5728
Wer: 113.4978
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
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 6
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.877
0.01
6
4.5728
19.4978
Framework versions
Transformers 4.24.0
Pytorch 1.11.0+cu113
Datasets 2.7.0
Tokenizers 0.13.2
