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: 0.0009

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
0.2681	1.076	100	0.1948
0.0906	3.028	200	0.0582
0.0192	4.104	300	0.0129
0.0022	6.056	400	0.0013
0.0011	8.008	500	0.0009

Framework versions

• PEFT 0.18.2.dev0
• Transformers 5.6.0.dev0
• Pytorch 2.11.0+cu126
• Datasets 4.8.4
• Tokenizers 0.22.2