Discussion-Phi-4-multimodal-instruct-audio-dimp-reasoning
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: 16.1311
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 |
|---|---|---|---|
| 199892.9688 | 0.1117 | 10 | 775.1600 |
| 0.3377 | 0.2235 | 20 | 18.9439 |
| 18.127 | 0.3352 | 30 | 15.0859 |
| 3.0535 | 0.4469 | 40 | 17.2034 |
| 0.0927 | 0.5587 | 50 | 17.3699 |
| 0.1183 | 0.6704 | 60 | 16.5855 |
| 0.0634 | 0.7821 | 70 | 17.7980 |
| 0.0472 | 0.8939 | 80 | 17.8210 |
| 0.0222 | 1.0 | 90 | 17.0549 |
| 0.0432 | 1.1117 | 100 | 19.1342 |
| 0.2647 | 1.2235 | 110 | 18.6049 |
| 0.0742 | 1.3352 | 120 | 18.7196 |
| 0.0208 | 1.4469 | 130 | 16.5360 |
| 0.0454 | 1.5587 | 140 | 16.6369 |
| 0.0419 | 1.6704 | 150 | 16.4503 |
| 0.0328 | 1.7821 | 160 | 16.6961 |
| 0.053 | 1.8939 | 170 | 16.4221 |
| 0.0173 | 2.0 | 180 | 17.6572 |
| 0.0145 | 2.1117 | 190 | 16.6156 |
| 0.0126 | 2.2235 | 200 | 18.8278 |
| 0.0208 | 2.3352 | 210 | 16.4277 |
| 0.0186 | 2.4469 | 220 | 15.9193 |
| 0.0108 | 2.5587 | 230 | 18.5243 |
| 0.0068 | 2.6704 | 240 | 15.9373 |
| 0.0108 | 2.7821 | 250 | 19.0050 |
| 0.025 | 2.8939 | 260 | 16.1311 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.4.1+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1