Hugging Face's logo

kmin940
/
lora_sanity

Transformers
Safetensors
Generated from Trainer
trl
sft
Inference Endpoints
Model card Files Community
kmin940 commited on
Commit
f2faa06
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Model save

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Files changed (9) hide show
  1. README.md +57 -0
  2. adapter_config.json +34 -0
  3. adapter_model.safetensors +3 -0
  4. added_tokens.json +209 -0
  5. special_tokens_map.json +30 -0
  6. tokenizer.json +0 -0
  7. tokenizer.model +3 -0
  8. tokenizer_config.json +1701 -0
  9. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ base_model: microsoft/maira-2
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+ library_name: transformers
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+ model_name: lora_sanity
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+ tags:
6
+ - generated_from_trainer
7
+ - trl
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+ - sft
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+ licence: license
10
+ ---
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+
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+ # Model Card for lora_sanity
13
+
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+ This model is a fine-tuned version of [microsoft/maira-2](https://huggingface.co/microsoft/maira-2).
15
+ It has been trained using [TRL](https://github.com/huggingface/trl).
16
+
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+ ## Quick start
18
+
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+ ```python
20
+ from transformers import pipeline
21
+
22
+ 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?"
23
+ generator = pipeline("text-generation", model="kmin940/lora_sanity", 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"])
26
+ ```
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+
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+ ## Training procedure
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+
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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/kmin940_/huggingface/runs/x7plar02)
31
+
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+ This model was trained with SFT.
33
+
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+ ### Framework versions
35
+
36
+ - TRL: 0.12.1
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+ - Transformers: 4.46.3
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+ - Pytorch: 2.5.1
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+ - Datasets: 3.1.0
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+ - Tokenizers: 0.20.3
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+
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+ ## Citations
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+
44
+
45
+
46
+ Cite TRL as:
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+
48
+ ```bibtex
49
+ @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,
53
+ journal = {GitHub repository},
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+ publisher = {GitHub},
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+ howpublished = {\url{https://github.com/huggingface/trl}}
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+ }
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+ ```
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 64,
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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