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Aranya31/
LLaVA-trained-paper-convs

Name: LLaVA-trained-paper-convs
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

Aranya31/DermLLaVA-7b-Label

adapter

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LLaVA-trained-paper-convs

This model is a fine-tuned version of Aranya31/DermLLaVA-1.5-7b-Label-Final on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9292

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: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use 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: 100
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.3488	1.0	85	1.2138
0.9814	1.9852	168	0.9292

Framework versions

PEFT 0.14.0
Transformers 4.49.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

Aranya31/LLaVA-trained-paper-convs

LLaVA-trained-paper-convs

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Aranya31/
LLaVA-trained-paper-convs