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whisper-darija-stage1 – AI Model by ilyaslbern7347 | AlphaNeural AI
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whisper-darija-stage1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ychafiqui/whisper-small-darija
finetune
apache-2.0
endpoints_compatible
us
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whisper-darija-stage1
This model is a fine-tuned version of
ychafiqui/whisper-small-darija
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.9841
Wer: 68.6860
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: 0.0001
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
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: 50
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3707
16.6809
100
2.3146
69.3987
0.0683
33.3404
200
2.6466
67.5724
0.0202
50.0
300
2.8124
69.0869
0.0046
66.6809
400
2.9300
68.3296
0.0008
83.3404
500
2.9841
68.6860
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2
