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
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Model tree for Aranya31/LLaVA-trained-paper-convs
Base model
Aranya31/DermLLaVA-7b-Label