metadata
library_name: transformers
license: mit
base_model: microsoft/Phi-4-multimodal-instruct
tags:
- generated_from_trainer
model-index:
- name: Discussion-Phi-4-multimodal-instruct-audio-dimp-tag
results: []
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: 47.2708
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 |
|---|---|---|---|
| 14.0644 | 0.1117 | 10 | 46.4600 |
| 0.806 | 0.2235 | 20 | 47.0485 |
| 0.8452 | 0.3352 | 30 | 48.5161 |
| 1.1108 | 0.4469 | 40 | 48.2024 |
| 0.5848 | 0.5587 | 50 | 48.0342 |
| 1.5352 | 0.6704 | 60 | 47.5009 |
| 0.8749 | 0.7821 | 70 | 46.9722 |
| 0.6388 | 0.8939 | 80 | 47.6718 |
| 0.1562 | 1.0 | 90 | 47.8837 |
| 0.5959 | 1.1117 | 100 | 47.5622 |
| 1.1912 | 1.2235 | 110 | 47.6055 |
| 0.4967 | 1.3352 | 120 | 47.7299 |
| 0.204 | 1.4469 | 130 | 48.1439 |
| 0.5732 | 1.5587 | 140 | 48.4459 |
| 0.2537 | 1.6704 | 150 | 47.5499 |
| 0.1044 | 1.7821 | 160 | 47.4731 |
| 0.177 | 1.8939 | 170 | 47.1623 |
| 0.131 | 2.0 | 180 | 47.0603 |
| 0.144 | 2.1117 | 190 | 47.2259 |
| 0.0884 | 2.2235 | 200 | 46.9473 |
| 0.5288 | 2.3352 | 210 | 47.2556 |
| 0.483 | 2.4469 | 220 | 47.6419 |
| 0.0972 | 2.5587 | 230 | 47.6346 |
| 0.0148 | 2.6704 | 240 | 47.5911 |
| 0.0224 | 2.7821 | 250 | 47.2943 |
| 0.2197 | 2.8939 | 260 | 47.2708 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.4.1+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1