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whisper-es-pr-pe-lora-unsloth-small-v11 – AI Model by rcastrovexler | AlphaNeural AI
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rcastrovexler
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whisper-es-pr-pe-lora-unsloth-small-v11
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peft
tensorboard
safetensors
adapter
lora
transformers
unsloth
generator
unsloth/whisper-small
apache-2.0
us
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whisper-es-pr-pe-lora-unsloth-small-v11
This model is a fine-tuned version of
unsloth/whisper-small
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.1259
Wer: 0.0780
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_8BIT 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
0.3201
0.3333
400
0.3337
0.0892
0.1166
1.0983
800
0.1512
0.0805
0.094
1.4317
1200
0.1259
0.0780
Framework versions
PEFT 0.18.0
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.3.0
Tokenizers 0.22.1
