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audio-flamingo-3-hf-lora-finetuned – AI Model by RaushanTurganbay | AlphaNeural AI
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RaushanTurganbay
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audio-flamingo-3-hf-lora-finetuned
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peft
safetensors
adapter
lora
transformers
text-generation
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nvidia/audio-flamingo-3-hf
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audio-flamingo-3-hf-lora-finetuned
This model is a fine-tuned version of
nvidia/audio-flamingo-3-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0006
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
0.2049
1.076
100
0.1700
0.0702
3.028
200
0.0360
0.0153
4.104
300
0.0058
0.0016
6.056
400
0.0009
0.0008
8.008
500
0.0006
Framework versions
PEFT 0.19.1.dev0
Transformers 5.6.0.dev0
Pytorch 2.11.0+cu126
Datasets 4.8.4
Tokenizers 0.22.2
