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README.md ADDED
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+ ---
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+ base_model: llava-hf/llava-1.5-7b-hf
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+ library_name: peft
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+ license: llama2
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ model-index:
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+ - name: llava-1.5-7b-hf-ft-mix-vsft
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+ results: []
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+ ---
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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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+ # llava-1.5-7b-hf-ft-mix-vsft
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+
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+ This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1.4e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.44.0
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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+ },
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+ "base_model_name_or_path": "llava-hf/llava-1.5-7b-hf",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "megatron_core": "megatron.core",
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+ "fc1",
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+ "chat_template": "A friendly conversation between a curious child and a helpful AI assistant. The assistant gives simple, clear, and cheerful explanations to the child's questions. {% for message in messages %}{% if message['role'] == 'user' %} CHILD: {% else %}ASSISTANT: {% endif %}{% for item in message['content'] %}{% if item['type'] == 'text' %}{{ item['text'] }}{% elif item['type'] == 'image' %}<Here’s a picture>{% endif %}{% endfor %} {% if message['role'] == 'user' %} {% else %}{{eos_token}}{% endif %}{% endfor %}",
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