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emendes3
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llava_13b_neighborhood_synthetic

PEFT
Safetensors
llava_llama
Generated from Trainer
4-bit precision
bitsandbytes
Model card Files Community
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  1. README.md +9 -10
  2. adapter_model.safetensors +1 -1
  3. num_examples=200/llava-v1.5-13b_3.0/adapter_config.json +5 -5
  4. num_examples=200/llava-v1.5-13b_3.0/adapter_model.safetensors +1 -1
  5. num_examples=200/llava-v1.5-13b_3.0/training_args.bin +1 -1
README.md CHANGED
@@ -1,27 +1,26 @@
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  ---
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  library_name: peft
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  tags:
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- - liuhaotian/llava-v1.5-13b_2.0
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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: liuhaotian/llava-v1.5-13b_2.0
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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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- # liuhaotian/llava-v1.5-13b_2.0
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- This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b_2.0](https://huggingface.co/liuhaotian/llava-v1.5-13b_2.0) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.2772
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- - eval_runtime: 79.0188
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- - eval_samples_per_second: 12.288
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- - eval_steps_per_second: 0.392
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- - epoch: 1.0
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- - step: 31
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  ## Model description
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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_neighborhood_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_neighborhood_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: 0.0487
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+ - eval_runtime: 79.413
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+ - eval_samples_per_second: 12.227
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+ - eval_steps_per_second: 0.39
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+ - epoch: 2.0
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+ - step: 62
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  ## Model description
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  "rank_pattern": {},
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  "target_modules": [
 
 
 
 
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