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whisper-large-children-lora-lr5e3 – AI Model by HouraMor | AlphaNeural AI
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HouraMor
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whisper-large-children-lora-lr5e3
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peft
tensorboard
safetensors
generated_from_trainer
openai/whisper-large-v3
adapter
apache-2.0
us
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whisper-large-children-lora-lr5e3
This model is a fine-tuned version of
openai/whisper-large-v3
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.2719
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: 0.005
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch 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: 750
training_steps: 15000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.5001
0.3047
500
1.5080
3.5338
0.6094
1000
3.4043
3.4309
0.9141
1500
3.2189
3.2391
1.2188
2000
3.3429
3.2767
1.5235
2500
3.2719
Framework versions
PEFT 0.15.2
Transformers 4.52.3
Pytorch 2.7.0+cu118
Datasets 3.6.0
Tokenizers 0.21.1
