whisper-es-pr-pe-lora-NoPredictwGen-v8

rcastrovexler/whisper-es-pr-pe-lora-NoPredictwGen-v8

whisper-es-pr-pe-lora-NoPredictwGen-v8 is a machine learning model from rcastrovexler. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Dec 8, 2025
Updated: Dec 8, 2025
SHA: f02b92b7

Base models

openai/whisper-small

Datasets

generator

Model card

From the Hugging Face model README

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

Library: peft
License: apache-2.0
Created: Dec 8, 2025
Updated: Dec 8, 2025