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Qwen2-Luganda-ASR – AI Model by KasuleTrevor | AlphaNeural AI
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KasuleTrevor
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Qwen2-Luganda-ASR
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peft
safetensors
qwen2_audio
text2text-generation
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen2-Audio-7B-Instruct
apache-2.0
4-bit
bitsandbytes
us
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Qwen2-Luganda-ASR
This model is a fine-tuned version of
Qwen/Qwen2-Audio-7B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0822
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: 2e-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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
3.599
1.1972
85
1.3491
1.1634
2.3944
170
1.0822
Framework versions
PEFT 0.17.1
Transformers 4.49.0
Pytorch 2.8.0+cu128
Datasets 4.4.1
Tokenizers 0.21.4
