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whisper-small-hi – AI Model by twsac | AlphaNeural AI
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twsac
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whisper-small-hi
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_11_0
openai/whisper-small
finetune
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: 0.4648
Wer: 32.3923
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0921
2.4450
1000
0.2991
35.0123
0.0222
4.8900
2000
0.3572
33.9922
0.0025
7.3350
3000
0.4179
32.7267
0.0004
9.7800
4000
0.4444
32.4219
0.0002
12.2249
5000
0.4648
32.3923
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu118
Datasets 2.21.0
Tokenizers 0.19.1
