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whisper-turbo-tr_All_datasets_finetune_2 – AI Model by Erenosxx | AlphaNeural AI
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whisper-turbo-tr_All_datasets_finetune_2
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peft
safetensors
generated_from_trainer
openai/whisper-large-v3-turbo
adapter
mit
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whisper-turbo-tr_All_datasets_finetune_2
This model is a fine-tuned version of
openai/whisper-large-v3-turbo
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1624
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: 0.0003
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_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1032
0.9186
1500
0.2026
0.0508
1.8371
3000
0.1726
0.0166
2.7557
4500
0.1624
Framework versions
PEFT 0.15.1
Transformers 4.48.0
Pytorch 2.5.1
Datasets 3.0.0
Tokenizers 0.21.1
