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whisper-small-swahili-finetuned-waxalnlp – AI Model by georges-1 | AlphaNeural AI
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georges-1
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whisper-small-swahili-finetuned-waxalnlp
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
georges-1/whisper-small-swahili-finetuned
finetune
endpoints_compatible
us
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whisper-small-swahili-finetuned-waxalnlp
This model is a fine-tuned version of
georges-1/whisper-small-swahili-finetuned
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3681
Wer: 0.3475
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.4440
1.0
61
0.5049
0.5128
1.0286
2.0
122
0.4469
0.3336
0.6171
3.0
183
0.4373
0.5879
Framework versions
Transformers 5.15.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
