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whisper-large-v3-turbo-med-pl-lora-decoder-only – AI Model by AleksanderObuchowski | AlphaNeural AI
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AleksanderObuchowski
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whisper-large-v3-turbo-med-pl-lora-decoder-only
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peft
safetensors
adapter
lora
transformers
pl
openai/whisper-large-v3-turbo
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whisper-large-v3-turbo-med-pl-lora-decoder-only
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: 1.7147
Model Preparation Time: 0.0121
Wer: 19.9336
Cer: 8.4978
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: 5e-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_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1
Training results
Training Loss
Epoch
Step
Validation Loss
Model Preparation Time
Wer
Cer
1.7811
1.0
2227
1.7378
0.0121
21.4499
9.5474
1.7453
2.0
4454
1.7207
0.0121
20.7634
9.2218
1.7313
3.0
6681
1.7147
0.0121
19.9336
8.4978
Framework versions
PEFT 0.18.1
Transformers 4.57.6
Pytorch 2.8.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2
