Instructions to use IoakeimE/dpo_simplification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IoakeimE/dpo_simplification_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IoakeimE/dpo_simplification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Training in progress, epoch 2
Browse files- README.md +5 -5
- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- tokenizer_config.json +1 -1
- training_args.bin +1 -1
README.md
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model_name: dpo_simplification_model
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tags:
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- generated_from_trainer
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- trl
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- unsloth
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- dpo
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licence: license
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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/ioakeime-aristotle-university-of-thessaloniki/
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This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
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- TRL: 0.24.0
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- Transformers: 4.57.3
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- Pytorch: 2.
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- Datasets: 4.3.0
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- Tokenizers: 0.22.
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## Citations
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model_name: dpo_simplification_model
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tags:
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- generated_from_trainer
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- dpo
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- unsloth
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- trl
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licence: license
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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/ioakeime-aristotle-university-of-thessaloniki/dpo_smiplification/runs/2qlb2fat)
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This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
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- TRL: 0.24.0
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- Transformers: 4.57.3
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- Pytorch: 2.10.0
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- Datasets: 4.3.0
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- Tokenizers: 0.22.2
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## Citations
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adapter_config.json
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"revision": null,
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"target_modules": [
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"down_proj",
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"
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"v_proj",
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"q_proj",
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"k_proj",
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"o_proj",
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"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"revision": null,
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"target_modules": [
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"down_proj",
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"gate_proj",
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"v_proj",
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"q_proj",
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"o_proj",
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"k_proj",
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"up_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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tokenizer_config.json
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"legacy": false,
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"model_max_length": 32768,
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"pad_token": "[control_768]",
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"padding_side": "
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"legacy": false,
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"model_max_length": 32768,
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"pad_token": "[control_768]",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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training_args.bin
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