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whisper-small-swahili – AI Model by diane20000000000000 | AlphaNeural AI

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diane20000000000000/
whisper-small-swahili

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automatic-speech-recognition

generated_from_trainer

common_voice_11_0

openai/whisper-small

endpoints_compatible

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whisper-small-swahili

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:

eval_loss: 0.6037
eval_wer: 40.4120
eval_runtime: 2898.7871
eval_samples_per_second: 3.532
eval_steps_per_second: 0.442
epoch: 1.5625
step: 1000

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

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1