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whisper-small-ha-bleu-v1 – AI Model by eldad-akhaumere | AlphaNeural AI
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whisper-small-ha-bleu-v1
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ha
eldad-akhaumere/common_voice_16_0_
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small_Ha Bleu - Eldad Akhaumere
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 16.0_ dataset. It achieves the following results on the evaluation set:
Loss: 1.8567
Bleu: 11.7649
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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
num_epochs: 1.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
0.4391
0.3185
50
1.9226
7.4601
0.3422
0.6369
100
1.9320
9.7294
0.3862
0.9554
150
1.8567
11.7649
Framework versions
Transformers 4.51.3
Pytorch 2.8.0+cu126
Datasets 3.6.0
Tokenizers 0.21.4
