Discussion-Phi-4-multimodal-instruct-audio-dimp
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: 13.9174
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 |
|---|---|---|---|
| 561742.3125 | 0.1117 | 10 | 3654.1487 |
| 0.3373 | 0.2235 | 20 | 16.0614 |
| 4.7407 | 0.3352 | 30 | 20.0628 |
| 13.0883 | 0.4469 | 40 | 16.9850 |
| 0.2847 | 0.5587 | 50 | 14.4631 |
| 0.8503 | 0.6704 | 60 | 16.1353 |
| 0.3988 | 0.7821 | 70 | 16.5311 |
| 0.1785 | 0.8939 | 80 | 16.1144 |
| 0.1524 | 1.0 | 90 | 17.1748 |
| 0.1447 | 1.1117 | 100 | 15.2639 |
| 0.4107 | 1.2235 | 110 | 14.7690 |
| 0.4008 | 1.3352 | 120 | 12.9608 |
| 0.0564 | 1.4469 | 130 | 11.9789 |
| 1.7456 | 1.5587 | 140 | 14.9167 |
| 0.1389 | 1.6704 | 150 | 15.7580 |
| 0.0553 | 1.7821 | 160 | 17.4344 |
| 0.1096 | 1.8939 | 170 | 14.6135 |
| 0.0714 | 2.0 | 180 | 17.3837 |
| 0.0931 | 2.1117 | 190 | 16.1148 |
| 0.0919 | 2.2235 | 200 | 15.9285 |
| 0.5142 | 2.3352 | 210 | 14.0383 |
| 0.2968 | 2.4469 | 220 | 16.4832 |
| 0.0483 | 2.5587 | 230 | 16.1801 |
| 0.0327 | 2.6704 | 240 | 13.8616 |
| 0.0405 | 2.7821 | 250 | 17.9884 |
| 0.0927 | 2.8939 | 260 | 13.9174 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.4.1+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1