Model save
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README.md
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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_5.0
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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:
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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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#
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This model is a fine-tuned version of [liuhaotian/llava-v1.5-
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It achieves the following results on the evaluation set:
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- eval_loss: 0.
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- eval_runtime:
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- eval_samples_per_second: 12.
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- eval_steps_per_second: 0.391
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- epoch:
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- step:
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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_country_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_country_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: 0.0064
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- eval_runtime: 151.0034
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- eval_samples_per_second: 12.49
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- eval_steps_per_second: 0.391
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- epoch: 5.0
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- step: 295
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## Model description
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adapter_model.safetensors
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num_examples=400/llava-v1.5-13b_6.0/adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"gate_proj",
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"v_proj",
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"up_proj",
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"down_proj",
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"k_proj"
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"v_proj",
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"o_proj",
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"k_proj",
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"up_proj",
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"down_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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num_examples=400/llava-v1.5-13b_6.0/adapter_model.safetensors
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num_examples=400/llava-v1.5-13b_6.0/training_args.bin
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