Training in progress, step 100
Browse files- README.md +4 -4
- adapter_config.json +1 -1
- adapter_model.safetensors +2 -2
README.md
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---
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base_model: unsloth/qwen3-0.6b-unsloth-bnb-4bit
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library_name: transformers
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model_name:
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tags:
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- generated_from_trainer
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- unsloth
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licence: license
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---
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# Model Card for
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This model is a fine-tuned version of [unsloth/qwen3-0.6b-unsloth-bnb-4bit](https://huggingface.co/unsloth/qwen3-0.6b-unsloth-bnb-4bit).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="picard47at/
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/picardtseng-pesi/punctuation/runs/
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This model was trained with SFT.
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---
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base_model: unsloth/qwen3-0.6b-unsloth-bnb-4bit
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library_name: transformers
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model_name: punctuation_512
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tags:
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- generated_from_trainer
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- unsloth
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licence: license
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---
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# Model Card for punctuation_512
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This model is a fine-tuned version of [unsloth/qwen3-0.6b-unsloth-bnb-4bit](https://huggingface.co/unsloth/qwen3-0.6b-unsloth-bnb-4bit).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="picard47at/punctuation_512", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/picardtseng-pesi/punctuation/runs/so31tt85)
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This model was trained with SFT.
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "unsloth/qwen3-
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "unsloth/qwen3-1.7b-unsloth-bnb-4bit",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size
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size 12859984
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