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LLaVA-Mistral-finetuned
This model is a fine-tuned version of liuhaotian/llava-v1.6-mistral-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6291
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 25
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7239 | 0.0 | 10 | 0.6832 |
| 0.7502 | 0.01 | 20 | 0.6291 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
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Model tree for nqtruong/LLaVA-Mistral-finetuned
Base model
liuhaotian/llava-v1.6-mistral-7b