Create README.md
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README.md
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---
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datasets:
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- yahma/alpaca_cleaned
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- lksy/ru_instruct_gpt4
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language:
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- ru
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pipeline_tag: text2text-generation
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inference: false
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---
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Based on [LLaMA 30B](https://huggingface.co/huggyllama/llama-30b).
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Trained on 4 LoRA modules.
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Parameters:
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```
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{
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"base_model_name_or_path": "./llama-30b-hf",
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"bias": "none",
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"enable_lora": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"merge_weights": false,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"target_modules": [
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"q_proj",
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"v_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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}
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```
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Cutoff length set to 512
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```
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Prompt template:
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{
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"description": "A shorter template to experiment with.",
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"prompt_input": "### Задание:\n{instruction}\n\n### Вход:\n{input}\n\n### Ответ:\n",
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"prompt_no_input": "### Задание:\n{instruction}\n\n### Ответ:\n",
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"response_split": "### Ответ:"
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}
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```
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Epochs: 3
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Loss: 0.774 (Might be overfit a bit, try to use a checkpoint)
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