Discussion-Phi-4-multimodal-instruct-w-asr

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: 13.8976

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
1.9923 0.2235 10 14.2728
0.3819 0.4469 20 14.0122
0.249 0.6704 30 14.0852
0.2951 0.8939 40 14.0115
0.2179 1.1117 50 14.0154
0.2839 1.3352 60 13.9879
0.2388 1.5587 70 14.0103
0.2687 1.7821 80 13.9336
0.1469 2.0 90 13.9879
0.1891 2.2235 100 13.9434
0.133 2.4469 110 14.0584
0.1759 2.6704 120 13.8902
0.1613 2.8939 130 13.8976

Framework versions

  • Transformers 4.51.3
  • Pytorch 2.4.1+cu124
  • Datasets 3.5.1
  • Tokenizers 0.21.1