picard47at commited on
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Training in progress, step 100

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Files changed (3) hide show
  1. README.md +4 -4
  2. adapter_config.json +1 -1
  3. adapter_model.safetensors +2 -2
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_256
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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_256
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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).
@@ -21,14 +21,14 @@ 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_256", 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/hfqv72dg)
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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.
adapter_config.json CHANGED
@@ -1,7 +1,7 @@
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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/qwen3-0.6b-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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  {
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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,
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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- size 9189904
 
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  version https://git-lfs.github.com/spec/v1
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