Model save
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README.md
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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.
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- eval_runtime: 79.
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- eval_samples_per_second: 12.
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- eval_steps_per_second: 0.
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- epoch:
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- step:
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## Model description
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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: 0.0043
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- eval_runtime: 79.4267
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- eval_samples_per_second: 12.225
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- eval_steps_per_second: 0.39
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- epoch: 15.0
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- step: 465
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## Model description
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adapter_model.safetensors
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oid sha256:
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num_examples=200/llava-v1.5-13b_16.0/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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"gate_proj",
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"q_proj",
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"v_proj",
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"up_proj",
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"o_proj",
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"down_proj",
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"
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],
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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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"v_proj",
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"down_proj",
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"q_proj",
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"gate_proj",
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"up_proj",
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"k_proj",
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"o_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=200/llava-v1.5-13b_16.0/adapter_model.safetensors
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num_examples=200/llava-v1.5-13b_16.0/training_args.bin
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