llava_13b_neighborhood
This model is a fine-tuned version of liuhaotian/llava-v1.5-13b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4711
Model description
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Intended uses & limitations
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Training and evaluation data
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Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.896 | 1.0 | 9 | 1.0162 |
| 0.2277 | 2.0 | 18 | 1.1135 |
| 0.0717 | 3.0 | 27 | 1.1909 |
| 0.0271 | 4.0 | 36 | 1.4078 |
| 0.0083 | 5.0 | 45 | 1.4837 |
| 0.0087 | 6.0 | 54 | 1.5063 |
| 0.0087 | 7.0 | 63 | 1.4929 |
| 0.0011 | 8.0 | 72 | 1.5387 |
| 0.0008 | 9.0 | 81 | 1.5352 |
| 0.0032 | 10.0 | 90 | 1.4711 |
Framework versions
- PEFT 0.10.0
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Tokenizers 0.15.1
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Base model
liuhaotian/llava-v1.5-13b