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whisper-small-tachebdant – AI Model by iukocha | AlphaNeural AI
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whisper-small-tachebdant
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ar
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper Small Tachebdant
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7125
Wer: 58.4270
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: 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: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0022
11.7647
200
0.7125
58.4270
Framework versions
Transformers 5.7.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
