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