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README.md CHANGED
@@ -1,57 +1,59 @@
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  ---
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- base_model: mistralai/Ministral-8B-Instruct-2410
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  library_name: transformers
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- model_name: reflect_Mini8B_nonGenCritic_Mini8bT0GtT1MstllrgT2_SftT2
 
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  tags:
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  - generated_from_trainer
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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 reflect_Mini8B_nonGenCritic_Mini8bT0GtT1MstllrgT2_SftT2
 
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- This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410).
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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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- ```python
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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="RyanYr/reflect_Mini8B_nonGenCritic_Mini8bT0GtT1MstllrgT2_SftT2", 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/yyr/huggingface/runs/ji41zrv7)
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- This model was trained with SFT.
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- ### Framework versions
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- - TRL: 0.12.0.dev0
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- - Transformers: 4.45.2
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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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- ## Citations
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- Cite TRL as:
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-
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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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- howpublished = {\url{https://github.com/huggingface/trl}}
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- }
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- ```
 
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  ---
 
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  library_name: transformers
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+ license: other
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+ base_model: mistralai/Ministral-8B-Instruct-2410
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  tags:
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  - generated_from_trainer
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+ model-index:
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+ - name: reflectNonGenCrtc_om2_Mini8bT0MstrllrgT12-460k_OrmCritic
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+ results: []
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  ---
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+ # reflectNonGenCrtc_om2_Mini8bT0MstrllrgT12-460k_OrmCritic
 
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+ This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410) on an unknown dataset.
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+ ## Model description
 
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+ More information needed
 
 
 
 
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+ ## Intended uses & limitations
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+ More information needed
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+ ## Training and evaluation data
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+ More information needed
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+ ## Training procedure
 
 
 
 
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+ ### Training hyperparameters
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-06
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 64
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+ - total_train_batch_size: 256
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+ - total_eval_batch_size: 4
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.03
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+ - num_epochs: 1
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+ - Transformers 4.45.2
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
 
 
 
 
 
 
 
 
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