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whisper-es-pr-pe-lora-NoPredictwGen-v8 – AI Model by rcastrovexler | AlphaNeural AI
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rcastrovexler
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whisper-es-pr-pe-lora-NoPredictwGen-v8
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peft
tensorboard
safetensors
adapter
lora
transformers
generator
openai/whisper-small
apache-2.0
us
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whisper-es-pr-pe-lora-NoPredictwGen-v8
This model is a fine-tuned version of
openai/whisper-small
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.1392
Wer: 0.1438
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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_steps: 200
training_steps: 1200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1408
0.3333
400
0.1509
0.1572
0.0828
1.0983
800
0.1349
0.1450
0.0683
1.4317
1200
0.1392
0.1438
Framework versions
PEFT 0.18.0
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1
