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: 33.4176
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 |
|---|---|---|---|
| 1160211.625 | 0.1117 | 10 | 7426.7354 |
| 0.6156 | 0.2235 | 20 | 31.8351 |
| 12.5708 | 0.3352 | 30 | 38.5527 |
| 120.2882 | 0.4469 | 40 | 34.2812 |
| 0.5927 | 0.5587 | 50 | 30.9922 |
| 2.379 | 0.6704 | 60 | 30.3796 |
| 0.6282 | 0.7821 | 70 | 29.5946 |
| 0.4296 | 0.8939 | 80 | 28.8131 |
| 0.1972 | 1.0 | 90 | 26.5031 |
| 0.2999 | 1.1117 | 100 | 29.2309 |
| 1.3594 | 1.2235 | 110 | 30.3200 |
| 0.5613 | 1.3352 | 120 | 27.7579 |
| 0.1148 | 1.4469 | 130 | 30.7001 |
| 2.4258 | 1.5587 | 140 | 31.5338 |
| 0.2405 | 1.6704 | 150 | 32.9445 |
| 0.1763 | 1.7821 | 160 | 33.0411 |
| 0.3052 | 1.8939 | 170 | 29.8340 |
| 0.0634 | 2.0 | 180 | 30.9146 |
| 0.1446 | 2.1117 | 190 | 34.0906 |
| 0.1127 | 2.2235 | 200 | 34.1306 |
| 2.9534 | 2.3352 | 210 | 31.8096 |
| 0.1518 | 2.4469 | 220 | 35.4243 |
| 0.148 | 2.5587 | 230 | 33.2750 |
| 0.0649 | 2.6704 | 240 | 32.6477 |
| 0.0999 | 2.7821 | 250 | 33.6155 |
| 0.3312 | 2.8939 | 260 | 33.4176 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.4.1+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1