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Training in progress, step 30

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  1. README.md +3 -5
  2. adapter_model.safetensors +1 -1
README.md CHANGED
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  ---
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  base_model: Qwen/Qwen2.5-7B-Instruct
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- datasets: OpenAssistant/oasst1
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  library_name: transformers
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  model_name: Qwen2.5-7B-Instruct
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  tags:
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  - generated_from_trainer
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- - trackio:https://botmark11-Qwen2.5-7B-Instruct.hf.space?project=huggingface&runs=botmark11-1773007757&sidebar=collapsed
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- - trackio
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  - trl
 
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  - sft
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  licence: license
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  ---
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  # Model Card for Qwen2.5-7B-Instruct
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- This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) dataset.
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  It has been trained using [TRL](https://github.com/huggingface/trl).
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  ## Quick start
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  ## Training procedure
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- [<img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" width="150" height="24"/>](https://botmark11-Qwen2.5-7B-Instruct.hf.space?project=huggingface&runs=botmark11-1773007757&sidebar=collapsed)
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  This model was trained with SFT.
 
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  ---
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  base_model: Qwen/Qwen2.5-7B-Instruct
 
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  library_name: transformers
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  model_name: Qwen2.5-7B-Instruct
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  tags:
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  - generated_from_trainer
 
 
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  - trl
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+ - trackio:https://botmark11-Qwen2.5-7B-Instruct.hf.space?project=huggingface&runs=botmark11-1773010343&sidebar=collapsed
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  - sft
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  licence: license
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  ---
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  # Model Card for Qwen2.5-7B-Instruct
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+ This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct).
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  It has been trained using [TRL](https://github.com/huggingface/trl).
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  ## Quick start
 
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  ## Training procedure
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+ [<img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" width="150" height="24"/>](https://botmark11-Qwen2.5-7B-Instruct.hf.space?project=huggingface&runs=botmark11-1773010343&sidebar=collapsed)
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  This model was trained with SFT.
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