Discussion-Phi-4-multimodal-instruct-audio-level

This model is a fine-tuned version of microsoft/Phi-4-multimodal-instruct on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 14.8465

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: 4e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
4.4085	0.2235	10	15.3387
0.2499	0.4469	20	14.8507
0.2277	0.6704	30	14.7963
0.2977	0.8939	40	14.8726
0.2456	1.1117	50	14.8255
0.1969	1.3352	60	14.9068
0.2661	1.5587	70	14.7583
0.1688	1.7821	80	14.9709
0.0946	2.0	90	14.7753
0.1948	2.2235	100	14.7443
0.0879	2.4469	110	14.7647
0.057	2.6704	120	14.8623
0.0259	2.8939	130	14.8465

Framework versions

• Transformers 4.51.3
• Pytorch 2.4.1+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1