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whisper-small-fft-afrispeech-general – AI Model by robello2 | AlphaNeural AI
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whisper-small-fft-afrispeech-general
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safetensors
whisper
generated_from_trainer
afrispeech-200
openai/whisper-small
finetune
apache-2.0
model-index
us
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whisper-small-fft-afrispeech-general
This model is a fine-tuned version of
openai/whisper-small
on the afrispeech-200 dataset. It achieves the following results on the evaluation set:
Loss: 0.5428
Wer: 0.14
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1349
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4272
1.0
1350
0.5152
0.151
0.286
2.0
2700
0.4620
0.142
0.1252
3.0
4050
0.4698
0.14
0.0541
4.0
5400
0.4920
0.141
0.0208
5.0
6750
0.5202
0.141
0.0076
6.0
8100
0.5428
0.14
Framework versions
Transformers 4.44.0
Pytorch 2.10.0+cu128
Datasets 2.19.0
Tokenizers 0.19.1
