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

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: 51.4496

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
2436765.25 0.1117 10 15290.4863
1.2412 0.2235 20 62.7128
48.4906 0.3352 30 72.5308
147.1698 0.4469 40 67.7048
1.3424 0.5587 50 65.1818
2.9574 0.6704 60 54.5024
1.2336 0.7821 70 50.8777
0.7593 0.8939 80 58.8612
0.396 1.0 90 63.9311
0.6103 1.1117 100 59.3974
3.0362 1.2235 110 59.0700
3.3966 1.3352 120 59.1827
0.196 1.4469 130 57.5179
4.7776 1.5587 140 63.4193
1.6803 1.6704 150 60.0916
0.3914 1.7821 160 52.0365
0.6947 1.8939 170 66.4174
0.1631 2.0 180 60.5770
0.3811 2.1117 190 47.5456
0.4748 2.2235 200 59.0834
3.4445 2.3352 210 66.0457
2.8572 2.4469 220 64.5688
0.1471 2.5587 230 60.8787
0.2193 2.6704 240 57.0804
0.1406 2.7821 250 64.1730
0.5833 2.8939 260 51.4496

Framework versions

  • Transformers 4.48.2
  • Pytorch 2.4.1+cu124
  • Datasets 3.6.0
  • Tokenizers 0.21.1
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