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--- |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: liuhaotian/llava-v1.5-13b |
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model-index: |
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- name: llava_13b_exact_location_name_synthetic |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# llava_13b_exact_location_name_synthetic |
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This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.0007 |
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- eval_runtime: 40.828 |
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- eval_samples_per_second: 11.071 |
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- eval_steps_per_second: 0.367 |
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- epoch: 8.0 |
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- step: 120 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 20.0 |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.37.2 |
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- Pytorch 2.1.2+cu121 |
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- Tokenizers 0.15.1 |
