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