Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string

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
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