Instructions to use patruff/dpo_mistral_nemo_fromSFTpart3DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use patruff/dpo_mistral_nemo_fromSFTpart3DPO with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-nemo-base-2407-bnb-4bit") model = PeftModel.from_pretrained(base_model, "patruff/dpo_mistral_nemo_fromSFTpart3DPO") - Notebooks
- Google Colab
- Kaggle
patruff/mistralNemoDPO3
Browse files- README.md +59 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- runs/Aug18_07-35-56_8dbf46428854/events.out.tfevents.1723966781.8dbf46428854.3860.0 +3 -0
- runs/Aug18_07-53-00_8dbf46428854/events.out.tfevents.1723967677.8dbf46428854.8438.0 +3 -0
- runs/Aug18_07-57-03_8dbf46428854/events.out.tfevents.1723967906.8dbf46428854.9754.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
- training_args.bin +3 -0
README.md
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---
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base_model: mistralai/Mistral-Nemo-Instruct-2407
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library_name: peft
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license: apache-2.0
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: dpo_mistral_nemo_fromSFTpart3DPO
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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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# dpo_mistral_nemo_fromSFTpart3DPO
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This model is a fine-tuned version of [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) 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-05
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_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_steps: 200
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- training_steps: 1000
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### Training results
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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adapter_config.json
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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/mistral-nemo-base-2407-bnb-4bit",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": "unsloth",
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"target_modules": [
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"gate_proj",
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"down_proj",
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"v_proj",
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"up_proj",
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"k_proj",
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"o_proj",
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"q_proj"
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],
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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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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fcfea549e1e4e18b1dc9cce875065379d898925cf28d5742b2b18e09af3a2a1f
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size 228140600
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runs/Aug18_07-35-56_8dbf46428854/events.out.tfevents.1723966781.8dbf46428854.3860.0
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version https://git-lfs.github.com/spec/v1
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runs/Aug18_07-53-00_8dbf46428854/events.out.tfevents.1723967677.8dbf46428854.8438.0
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version https://git-lfs.github.com/spec/v1
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size 6887
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runs/Aug18_07-57-03_8dbf46428854/events.out.tfevents.1723967906.8dbf46428854.9754.0
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version https://git-lfs.github.com/spec/v1
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size 75221
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e018aa2f9c375b961969745453f081b9d44f913b2708989a0ffa8bf335cf9554
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size 5944
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