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