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End of training

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  1. README.md +7 -7
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
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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_128
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  tags:
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  - generated_from_trainer
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  - unsloth
@@ -10,7 +10,7 @@ tags:
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  licence: license
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  ---
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- # Model Card for punctuation_128
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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).
@@ -21,22 +21,22 @@ 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_128", 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/wra9ucgh)
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  This model was trained with SFT.
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  ### Framework versions
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- - TRL: 0.15.2
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- - Transformers: 4.51.3
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  - Pytorch: 2.7.0
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  - Datasets: 3.6.0
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  - Tokenizers: 0.21.0
@@ -50,7 +50,7 @@ Cite TRL as:
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  ```bibtex
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  @misc{vonwerra2022trl,
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  title = {{TRL: Transformer Reinforcement Learning}},
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- author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
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  year = 2020,
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  journal = {GitHub repository},
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  publisher = {GitHub},
 
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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_1024_0.6B
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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_1024_0.6B
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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_1024_0.6B", 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/yzr3536d)
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  This model was trained with SFT.
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  ### Framework versions
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+ - TRL: 0.18.1
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+ - Transformers: 4.52.4
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  - Pytorch: 2.7.0
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  - Datasets: 3.6.0
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  - Tokenizers: 0.21.0
 
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  ```bibtex
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  @misc{vonwerra2022trl,
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  title = {{TRL: Transformer Reinforcement Learning}},
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+ author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
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  year = 2020,
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  journal = {GitHub repository},
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  publisher = {GitHub},
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