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: 77.3568

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
537668.6875	0.2235	10	3644.7732
0.2122	0.4469	20	15.8183
0.1827	0.6704	30	21.3162
0.044	0.8939	40	17.6673
0.0932	1.1117	50	19.0555
0.0639	1.3352	60	16.6945
0.041	1.5587	70	20.2311
0.0795	1.7821	80	26.3871
0.0125	2.0	90	20.4623
0.0148	2.2235	100	21.1870
0.0128	2.4469	110	36.9605
0.0055	2.6704	120	63.9226
0.0037	2.8939	130	77.3568

Framework versions

Transformers 4.48.2
Pytorch 2.4.1+cu124
Datasets 3.6.0
Tokenizers 0.21.1

TakalaWang/Discussion-Phi-4-multimodal-instruct-audio-dimp-only

Discussion-Phi-4-multimodal-instruct-audio-dimp-only

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

TakalaWang/
Discussion-Phi-4-multimodal-instruct-audio-dimp-only