metadata
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-11B-Vision
tags:
- generated_from_trainer
model-index:
- name: llama-32-11b-vlm_peft_output33
results: []
llama-32-11b-vlm_peft_output33
This model is a fine-tuned version of meta-llama/Llama-3.2-11B-Vision on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3393
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.873 | 0.1 | 5 | 1.6084 |
| 1.6055 | 0.2 | 10 | 1.5360 |
| 2.0931 | 0.3 | 15 | 1.4717 |
| 1.3995 | 0.4 | 20 | 1.4390 |
| 1.4799 | 0.5 | 25 | 1.4170 |
| 1.2999 | 0.6 | 30 | 1.3999 |
| 1.6356 | 0.7 | 35 | 1.3855 |
| 1.3253 | 0.8 | 40 | 1.3713 |
| 1.4132 | 0.9 | 45 | 1.3630 |
| 1.4824 | 1.0 | 50 | 1.3557 |
| 1.0958 | 1.1 | 55 | 1.3478 |
| 1.3437 | 1.2 | 60 | 1.3490 |
| 1.3517 | 1.3 | 65 | 1.3459 |
| 1.0089 | 1.4 | 70 | 1.3415 |
| 1.1556 | 1.5 | 75 | 1.3369 |
| 1.3741 | 1.6 | 80 | 1.3393 |
Framework versions
- PEFT 0.10.0
- Transformers 4.47.0
- Pytorch 2.7.0a0+7c8ec84dab.nv25.03
- Datasets 3.5.0
- Tokenizers 0.21.1