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whisper-es-pr-pe-lora-unsloth-v9 – AI Model by rcastrovexler | AlphaNeural AI
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rcastrovexler
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whisper-es-pr-pe-lora-unsloth-v9
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
unsloth
generator
unsloth/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-es-pr-pe-lora-unsloth-v9
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: 0.0927
Wer: 0.0427
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
0.1802
0.3333
400
0.1994
0.1186
0.0544
1.0983
800
0.1290
0.0612
0.0343
1.4317
1200
0.0927
0.0427
Framework versions
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.3.0
Tokenizers 0.22.1
