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auv-codec-librispeech – AI Model by voidful | AlphaNeural AI
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voidful
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auv-codec-librispeech
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peft
safetensors
generated_from_trainer
Qwen/Qwen3-4B-Instruct-2507
adapter
apache-2.0
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auv-codec-librispeech
This model is a fine-tuned version of
Qwen/Qwen3-4B-Instruct-2507
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 11.9699
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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
11.9929
1.0
35156
11.9689
11.992
2.0
70312
11.9734
11.9116
3.0
105468
11.9699
Framework versions
PEFT 0.15.0
Transformers 4.57.3
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
