metadata
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-11B-Vision-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama32-rocov2
results: []
llama32-rocov2
This model is a fine-tuned version of meta-llama/Llama-3.2-11B-Vision-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5308
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: reduce_lr_on_plateau
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9044 | 0.3057 | 1000 | 1.4144 |
| 0.8406 | 0.6115 | 2000 | 1.3676 |
| 1.191 | 0.9172 | 3000 | 1.2214 |
| 0.6385 | 1.2229 | 4000 | 1.3376 |
| 0.653 | 1.5286 | 5000 | 1.3327 |
| 0.6588 | 1.8344 | 6000 | 1.3117 |
| 0.2798 | 2.1401 | 7000 | 1.5337 |
| 0.2596 | 2.4458 | 8000 | 1.5558 |
| 0.2668 | 2.7516 | 9000 | 1.5308 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1