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whisper-turbo-tr_combined_90_percent_2 – AI Model by Erenosxx | AlphaNeural AI
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whisper-turbo-tr_combined_90_percent_2
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peft
safetensors
generated_from_trainer
openai/whisper-large-v3-turbo
adapter
mit
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whisper-turbo-tr_combined_90_percent_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: 0.2025
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 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
0.2549
0.5104
1500
0.2242
0.2299
1.0208
3000
0.2111
0.2231
1.5311
4500
0.2064
0.2125
2.0415
6000
0.2033
0.2233
2.5519
7500
0.2025
Framework versions
PEFT 0.15.1
Transformers 4.48.0
Pytorch 2.5.1
Datasets 3.2.0
Tokenizers 0.21.1
