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fine-tuned-visionllama – AI Model by haoning6688 | AlphaNeural AI
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fine-tuned-visionllama
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.2-11B-Vision-Instruct
adapter
llama3.2
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fine-tuned-visionllama
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: 0.2764
Accuracy: 0.0262
F1: 0.0263
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: 0.0002
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: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.6989
0.9778
22
0.6079
0.0001
0.0001
0.3177
1.9556
44
0.2764
0.0262
0.0263
Framework versions
PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.20.3
