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whisper-small-so – AI Model by adityaedy01 | AlphaNeural AI
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
so
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
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Whisper Small Somalia
This model is a fine-tuned version of
openai/whisper-small
on the Somali Dataset dataset. It achieves the following results on the evaluation set:
Loss: 0.0005
Wer: 0.0
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2361
6.5359
1000
0.0235
0.6506
0.0062
13.0719
2000
0.0024
0.0
0.0007
19.6078
3000
0.0006
0.0
0.0005
26.1438
4000
0.0005
0.0
Framework versions
Transformers 4.42.3
Pytorch 2.3.0
Datasets 2.20.0
Tokenizers 0.19.1
