llava-fabric-classifier
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7772
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7807 | 1.0 | 591 | 3.7862 |
| 3.7735 | 2.0 | 1182 | 3.7785 |
| 3.7717 | 3.0 | 1773 | 3.7772 |
Framework versions
- PEFT 0.15.2
- Transformers 4.53.0
- Pytorch 2.3.0+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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Model tree for Rithwik3108/llava-fabric-classifier
Base model
llava-hf/llava-1.5-7b-hf