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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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- axolotl |
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base_model: mistralai/Mistral-Nemo-Base-2407 |
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datasets: |
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- cognitivecomputations/Dolphin-2.9 |
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- teknium/OpenHermes-2.5 |
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- m-a-p/CodeFeedback-Filtered-Instruction |
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- cognitivecomputations/dolphin-coder |
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- cognitivecomputations/samantha-data |
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- microsoft/orca-math-word-problems-200k |
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- Locutusque/function-calling-chatml |
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- internlm/Agent-FLAN |
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model-index: |
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- name: dolphin-2.9.3-mistral-nemo-12b |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: IFEval (0-Shot) |
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type: HuggingFaceH4/ifeval |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: inst_level_strict_acc and prompt_level_strict_acc |
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value: 56.01 |
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name: strict accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: BBH (3-Shot) |
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type: BBH |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc_norm |
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value: 36.08 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MATH Lvl 5 (4-Shot) |
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type: hendrycks/competition_math |
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args: |
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num_few_shot: 4 |
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metrics: |
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- type: exact_match |
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value: 5.06 |
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name: exact match |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GPQA (0-shot) |
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type: Idavidrein/gpqa |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 8.72 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MuSR (0-shot) |
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type: TAUR-Lab/MuSR |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 15.21 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU-PRO (5-shot) |
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type: TIGER-Lab/MMLU-Pro |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 26.41 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b |
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name: Open LLM Leaderboard |
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--- |
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# Dolphin 2.9.3 Mistral Nemo 12b 🐬 |
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Curated and trained by Eric Hartford and Cognitive Computations |
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[](https://discord.gg/h3K4XGj2RH) |
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Discord: https://discord.gg/h3K4XGj2RH |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" /> |
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Our appreciation for the sponsors of Dolphin 2.9.3: |
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- [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 8xL40S node |
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This model is based on mistralai/Mistral-Nemo-Base-2407, and is governed by the apache 2.0 license. |
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The base model has 128K context, and our finetuning used 8192 sequence length. |
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Dolphin 2.9.3 uses ChatML prompt template format. |
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example: |
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``` |
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<|im_start|>system |
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You are Dolphin, a helpful AI assistant.<|im_end|> |
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<|im_start|>user |
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{prompt}<|im_end|> |
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<|im_start|>assistant |
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``` |
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Dolphin-2.9.3 has a variety of instruction following, conversational, and coding skills. It also has initial agentic abilities and supports function calling. |
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Dolphin is uncensored. We have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly. |
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Dolphin is licensed according to apache 2.0 license. We grant permission for any use, including commercial. Dolphin was trained on data generated from GPT4, among other models. |
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## Evals |
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<details><summary>See evals</summary> |
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``` |
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| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr| |
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|-----------------------------------------------------------|-------|------|-----:|-----------------------|---|-----:|---|------| |
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|leaderboard |N/A |none | 0|acc |↑ |0.3437|± |0.0043| |
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| | |none | 0|acc_norm |↑ |0.5076|± |0.0053| |
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| | |none | 0|exact_match |↑ |0.0536|± |0.0061| |
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| | |none | 0|inst_level_loose_acc |↑ |0.4388|± |N/A | |
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| | |none | 0|inst_level_strict_acc |↑ |0.3741|± |N/A | |
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| | |none | 0|prompt_level_loose_acc |↑ |0.3105|± |0.0199| |
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| | |none | 0|prompt_level_strict_acc|↑ |0.2477|± |0.0186| |
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| - leaderboard_bbh |N/A |none | 3|acc_norm |↑ |0.5549|± |0.0061| |
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| - leaderboard_bbh_boolean_expressions | 0|none | 3|acc_norm |↑ |0.8640|± |0.0217| |
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| - leaderboard_bbh_causal_judgement | 0|none | 3|acc_norm |↑ |0.6417|± |0.0352| |
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| - leaderboard_bbh_date_understanding | 0|none | 3|acc_norm |↑ |0.6080|± |0.0309| |
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| - leaderboard_bbh_disambiguation_qa | 0|none | 3|acc_norm |↑ |0.6480|± |0.0303| |
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| - leaderboard_bbh_formal_fallacies | 0|none | 3|acc_norm |↑ |0.5360|± |0.0316| |
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| - leaderboard_bbh_geometric_shapes | 0|none | 3|acc_norm |↑ |0.5240|± |0.0316| |
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| - leaderboard_bbh_hyperbaton | 0|none | 3|acc_norm |↑ |0.6440|± |0.0303| |
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| - leaderboard_bbh_logical_deduction_five_objects | 0|none | 3|acc_norm |↑ |0.4600|± |0.0316| |
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| - leaderboard_bbh_logical_deduction_seven_objects | 0|none | 3|acc_norm |↑ |0.4680|± |0.0316| |
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| - leaderboard_bbh_logical_deduction_three_objects | 0|none | 3|acc_norm |↑ |0.7000|± |0.0290| |
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| - leaderboard_bbh_movie_recommendation | 0|none | 3|acc_norm |↑ |0.8160|± |0.0246| |
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| - leaderboard_bbh_navigate | 0|none | 3|acc_norm |↑ |0.6040|± |0.0310| |
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| - leaderboard_bbh_object_counting | 0|none | 3|acc_norm |↑ |0.3680|± |0.0306| |
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| - leaderboard_bbh_penguins_in_a_table | 0|none | 3|acc_norm |↑ |0.5548|± |0.0413| |
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| - leaderboard_bbh_reasoning_about_colored_objects | 0|none | 3|acc_norm |↑ |0.6320|± |0.0306| |
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| - leaderboard_bbh_ruin_names | 0|none | 3|acc_norm |↑ |0.7440|± |0.0277| |
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| - leaderboard_bbh_salient_translation_error_detection | 0|none | 3|acc_norm |↑ |0.5280|± |0.0316| |
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| - leaderboard_bbh_snarks | 0|none | 3|acc_norm |↑ |0.6292|± |0.0363| |
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| - leaderboard_bbh_sports_understanding | 0|none | 3|acc_norm |↑ |0.8040|± |0.0252| |
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| - leaderboard_bbh_temporal_sequences | 0|none | 3|acc_norm |↑ |0.4680|± |0.0316| |
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| - leaderboard_bbh_tracking_shuffled_objects_five_objects | 0|none | 3|acc_norm |↑ |0.2160|± |0.0261| |
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| - leaderboard_bbh_tracking_shuffled_objects_seven_objects| 0|none | 3|acc_norm |↑ |0.1160|± |0.0203| |
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| - leaderboard_bbh_tracking_shuffled_objects_three_objects| 0|none | 3|acc_norm |↑ |0.3000|± |0.0290| |
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| - leaderboard_bbh_web_of_lies | 0|none | 3|acc_norm |↑ |0.4880|± |0.0317| |
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| - leaderboard_gpqa |N/A |none | 0|acc_norm |↑ |0.3146|± |0.0135| |
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| - leaderboard_gpqa_diamond | 1|none | 0|acc_norm |↑ |0.3182|± |0.0332| |
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| - leaderboard_gpqa_extended | 1|none | 0|acc_norm |↑ |0.3187|± |0.0200| |
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| - leaderboard_gpqa_main | 1|none | 0|acc_norm |↑ |0.3080|± |0.0218| |
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| - leaderboard_ifeval | 2|none | 0|inst_level_loose_acc |↑ |0.4388|± |N/A | |
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| | |none | 0|inst_level_strict_acc |↑ |0.3741|± |N/A | |
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| | |none | 0|prompt_level_loose_acc |↑ |0.3105|± |0.0199| |
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| | |none | 0|prompt_level_strict_acc|↑ |0.2477|± |0.0186| |
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| - leaderboard_math_algebra_hard | 1|none | 4|exact_match |↑ |0.0749|± |0.0150| |
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| - leaderboard_math_counting_and_prob_hard | 1|none | 4|exact_match |↑ |0.0244|± |0.0140| |
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| - leaderboard_math_geometry_hard | 1|none | 4|exact_match |↑ |0.0227|± |0.0130| |
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| - leaderboard_math_hard |N/A |none | 4|exact_match |↑ |0.0536|± |0.0061| |
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| - leaderboard_math_intermediate_algebra_hard | 1|none | 4|exact_match |↑ |0.0250|± |0.0093| |
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| - leaderboard_math_num_theory_hard | 1|none | 4|exact_match |↑ |0.0390|± |0.0156| |
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| - leaderboard_math_prealgebra_hard | 1|none | 4|exact_match |↑ |0.1295|± |0.0242| |
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| - leaderboard_math_precalculus_hard | 1|none | 4|exact_match |↑ |0.0296|± |0.0146| |
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| - leaderboard_mmlu_pro | 0.1|none | 5|acc |↑ |0.3437|± |0.0043| |
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| - leaderboard_musr |N/A |none | 0|acc_norm |↑ |0.4511|± |0.0178| |
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| - leaderboard_musr_murder_mysteries | 1|none | 0|acc_norm |↑ |0.5880|± |0.0312| |
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| - leaderboard_musr_object_placements | 1|none | 0|acc_norm |↑ |0.3438|± |0.0297| |
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| - leaderboard_musr_team_allocation | 1|none | 0|acc_norm |↑ |0.4240|± |0.0313| |
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| Groups |Version|Filter|n-shot| Metric | |Value | |Stderr| |
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|------------------------|-------|------|-----:|-----------------------|---|-----:|---|------| |
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|leaderboard |N/A |none | 0|acc |↑ |0.3437|± |0.0043| |
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| | |none | 0|acc_norm |↑ |0.5076|± |0.0053| |
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| | |none | 0|exact_match |↑ |0.0536|± |0.0061| |
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| | |none | 0|inst_level_loose_acc |↑ |0.4388|± |N/A | |
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| | |none | 0|inst_level_strict_acc |↑ |0.3741|± |N/A | |
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| | |none | 0|prompt_level_loose_acc |↑ |0.3105|± |0.0199| |
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| | |none | 0|prompt_level_strict_acc|↑ |0.2477|± |0.0186| |
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| - leaderboard_bbh |N/A |none | 3|acc_norm |↑ |0.5549|± |0.0061| |
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| - leaderboard_gpqa |N/A |none | 0|acc_norm |↑ |0.3146|± |0.0135| |
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| - leaderboard_math_hard|N/A |none | 4|exact_match |↑ |0.0536|± |0.0061| |
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| - leaderboard_musr |N/A |none | 0|acc_norm |↑ |0.4511|± |0.0178| |
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``` |
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</details><br> |
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## Training |
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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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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.1` |
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```yaml |
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base_model: /workspace/models/Mistral-Nemo-Base-2407 |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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load_in_8bit: false |
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# load_in_4bit: true |
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strict: false |
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datasets: |
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- path: /workspace/datasets/dolphin-2.9.3/dolphin201-sharegpt2.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.3/SystemChat_filtered_sharegpt.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.3/SystemChat_multilingual_sharegpt.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.3/dolphin-coder-translate-sharegpt2.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.3/dolphin-coder-codegen-sharegpt2.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.3/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.3/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.3/not_samantha_norefusals.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.3/Orca-Math-resort-unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.3/agent_instruct_react_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.3/toolbench_instruct_j1s1_3k_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.3/toolbench_negative_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.3/toolbench_react_10p_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.3/toolbench_tflan_cot_30p_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.3/openhermes200k_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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chat_template: chatml |
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# adapter: qlora |
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# lora_r: 128 |
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# lora_alpha: 16 |
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# lora_modules_to_save: [embed_tokens, lm_head] |
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# lora_dropout: 0.05 |
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# lora_target_linear: true |
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unfrozen_parameters: |
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- ^lm_head.weight$ |
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- ^model.embed_tokens.weight$ |
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- input_layernorm |
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- model.norm |
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- post_attention_layernorm |
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- self_attn.rotary_emb |
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# mlp.down_proj layers |
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- model.layers.0.mlp.down_proj |
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- model.layers.1.mlp.down_proj |
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- model.layers.4.mlp.down_proj |
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- model.layers.37.mlp.down_proj |
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- model.layers.24.mlp.down_proj |
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- model.layers.2.mlp.down_proj |
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- model.layers.38.mlp.down_proj |
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- model.layers.35.mlp.down_proj |
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- model.layers.25.mlp.down_proj |
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- model.layers.6.mlp.down_proj |
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- model.layers.22.mlp.down_proj |
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- model.layers.23.mlp.down_proj |
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- model.layers.3.mlp.down_proj |
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- model.layers.21.mlp.down_proj |
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- model.layers.5.mlp.down_proj |
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- model.layers.28.mlp.down_proj |
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- model.layers.20.mlp.down_proj |
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- model.layers.26.mlp.down_proj |
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- model.layers.19.mlp.down_proj |
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- model.layers.34.mlp.down_proj |
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# mlp.gate_proj layers |
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- model.layers.2.mlp.gate_proj |
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- model.layers.1.mlp.gate_proj |
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- model.layers.3.mlp.gate_proj |
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- model.layers.5.mlp.gate_proj |
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- model.layers.4.mlp.gate_proj |
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- model.layers.35.mlp.gate_proj |
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- model.layers.36.mlp.gate_proj |
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- model.layers.37.mlp.gate_proj |
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- model.layers.38.mlp.gate_proj |
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- model.layers.34.mlp.gate_proj |
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- model.layers.33.mlp.gate_proj |
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- model.layers.8.mlp.gate_proj |
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- model.layers.32.mlp.gate_proj |
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- model.layers.6.mlp.gate_proj |
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- model.layers.28.mlp.gate_proj |
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- model.layers.26.mlp.gate_proj |
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- model.layers.30.mlp.gate_proj |
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- model.layers.23.mlp.gate_proj |
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- model.layers.29.mlp.gate_proj |
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- model.layers.27.mlp.gate_proj |
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# mlp.up_proj layers |
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- model.layers.3.mlp.up_proj |
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- model.layers.4.mlp.up_proj |
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- model.layers.6.mlp.up_proj |
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- model.layers.2.mlp.up_proj |
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- model.layers.5.mlp.up_proj |
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- model.layers.8.mlp.up_proj |
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- model.layers.10.mlp.up_proj |
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- model.layers.9.mlp.up_proj |
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- model.layers.7.mlp.up_proj |
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- model.layers.0.mlp.up_proj |
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- model.layers.17.mlp.up_proj |
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- model.layers.15.mlp.up_proj |
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- model.layers.22.mlp.up_proj |
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- model.layers.18.mlp.up_proj |
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- model.layers.16.mlp.up_proj |
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- model.layers.11.mlp.up_proj |
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- model.layers.21.mlp.up_proj |
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- model.layers.23.mlp.up_proj |
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- model.layers.20.mlp.up_proj |
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- model.layers.27.mlp.up_proj |
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# self_attn.k_proj layers |
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- model.layers.30.self_attn.k_proj |
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- model.layers.27.self_attn.k_proj |
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- model.layers.25.self_attn.k_proj |
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- model.layers.33.self_attn.k_proj |
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- model.layers.26.self_attn.k_proj |
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- model.layers.31.self_attn.k_proj |
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- model.layers.35.self_attn.k_proj |
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- model.layers.39.self_attn.k_proj |
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- model.layers.22.self_attn.k_proj |
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- model.layers.24.self_attn.k_proj |
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- model.layers.21.self_attn.k_proj |
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- model.layers.28.self_attn.k_proj |
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- model.layers.23.self_attn.k_proj |
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- model.layers.36.self_attn.k_proj |
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- model.layers.20.self_attn.k_proj |
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- model.layers.37.self_attn.k_proj |
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- model.layers.29.self_attn.k_proj |
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- model.layers.32.self_attn.k_proj |
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- model.layers.16.self_attn.k_proj |
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- model.layers.18.self_attn.k_proj |
|
# self_attn.o_proj layers |
|
- model.layers.7.self_attn.o_proj |
|
- model.layers.6.self_attn.o_proj |
|
- model.layers.9.self_attn.o_proj |
|
- model.layers.5.self_attn.o_proj |
|
- model.layers.27.self_attn.o_proj |
|
- model.layers.26.self_attn.o_proj |
|
- model.layers.4.self_attn.o_proj |
|
- model.layers.31.self_attn.o_proj |
|
- model.layers.8.self_attn.o_proj |
|
- model.layers.16.self_attn.o_proj |
|
- model.layers.3.self_attn.o_proj |
|
- model.layers.10.self_attn.o_proj |
|
- model.layers.18.self_attn.o_proj |
|
- model.layers.33.self_attn.o_proj |
|
- model.layers.17.self_attn.o_proj |
|
- model.layers.32.self_attn.o_proj |
|
- model.layers.30.self_attn.o_proj |
|
- model.layers.2.self_attn.o_proj |
|
- model.layers.15.self_attn.o_proj |
|
- model.layers.11.self_attn.o_proj |
|
# self_attn.q_proj layers |
|
- model.layers.14.self_attn.q_proj |
|
- model.layers.11.self_attn.q_proj |
|
- model.layers.15.self_attn.q_proj |
|
- model.layers.9.self_attn.q_proj |
|
- model.layers.8.self_attn.q_proj |
|
- model.layers.18.self_attn.q_proj |
|
- model.layers.12.self_attn.q_proj |
|
- model.layers.13.self_attn.q_proj |
|
- model.layers.19.self_attn.q_proj |
|
- model.layers.16.self_attn.q_proj |
|
- model.layers.10.self_attn.q_proj |
|
- model.layers.17.self_attn.q_proj |
|
- model.layers.7.self_attn.q_proj |
|
- model.layers.5.self_attn.q_proj |
|
- model.layers.20.self_attn.q_proj |
|
- model.layers.3.self_attn.q_proj |
|
- model.layers.26.self_attn.q_proj |
|
- model.layers.27.self_attn.q_proj |
|
- model.layers.28.self_attn.q_proj |
|
- model.layers.33.self_attn.q_proj |
|
# self_attn.v_proj layers |
|
- model.layers.27.self_attn.v_proj |
|
- model.layers.20.self_attn.v_proj |
|
- model.layers.24.self_attn.v_proj |
|
- model.layers.25.self_attn.v_proj |
|
- model.layers.30.self_attn.v_proj |
|
- model.layers.2.self_attn.v_proj |
|
- model.layers.23.self_attn.v_proj |
|
- model.layers.22.self_attn.v_proj |
|
- model.layers.26.self_attn.v_proj |
|
- model.layers.33.self_attn.v_proj |
|
- model.layers.37.self_attn.v_proj |
|
- model.layers.7.self_attn.v_proj |
|
- model.layers.4.self_attn.v_proj |
|
- model.layers.18.self_attn.v_proj |
|
- model.layers.31.self_attn.v_proj |
|
- model.layers.17.self_attn.v_proj |
|
- model.layers.35.self_attn.v_proj |
|
- model.layers.32.self_attn.v_proj |
|
- model.layers.21.self_attn.v_proj |
|
- model.layers.3.self_attn.v_proj |
|
|
|
|
|
|
|
dataset_prepared_path: /workspace/axolotl/dolph-2.9.3-nemo-prepared |
|
val_set_size: 0.01 |
|
output_dir: /workspace/axolotl/dolphin-2.9.3-mistral-nemo |
|
|
|
sequence_len: 8192 |
|
sample_packing: true |
|
pad_to_sequence_len: true |
|
|
|
wandb_project: dolphin-2.9.3-Mistral-nemo |
|
wandb_watch: |
|
wandb_run_id: |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 16 |
|
micro_batch_size: 1 |
|
num_epochs: 3 |
|
optimizer: adamw_torch |
|
lr_scheduler: cosine |
|
learning_rate: 5e-6 |
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: auto |
|
fp16: |
|
tf32: |
|
|
|
gradient_checkpointing: true |
|
gradient_checkpointing_kwargs: |
|
use_reentrant: false |
|
early_stopping_patience: |
|
resume_from_checkpoint: |
|
logging_steps: 1 |
|
xformers_attention: |
|
flash_attention: true |
|
|
|
warmup_steps: 100 |
|
# evals_per_epoch: 4 |
|
eval_table_size: |
|
saves_per_epoch: 1 |
|
save_total_limit: 2 |
|
save_steps: |
|
debug: |
|
deepspeed: deepspeed_configs/zero3_bf16.json |
|
weight_decay: 0.1 |
|
special_tokens: |
|
eos_token: "<|im_end|>" |
|
pad_token: "<pad>" |
|
bos_token: "<s>" |
|
unk_token: "<unk>" |
|
tokens: |
|
- "<|im_start|>" |
|
|
|
|
|
# fsdp: |
|
# - full_shard |
|
# - auto_wrap |
|
# fsdp_config: |
|
# fsdp_limit_all_gathers: true |
|
# fsdp_sync_module_states: true |
|
# fsdp_offload_params: true |
|
# fsdp_use_orig_params: false |
|
# fsdp_cpu_ram_efficient_loading: true |
|
# fsdp_transformer_layer_cls_to_wrap: MixtralSparseMoeBlock |
|
# fsdp_state_dict_type: FULL_STATE_DICT |
|
# fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP |
|
# fsdp_sharding_strategy: FULL_SHARD |
|
# fsdp_forward_prefetch: false |
|
# fsdp_backward_prefetch: BACKWARD_PRE |
|
``` |
|
|
|
</details><br> |
|
|
|
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ehartford/dolphin-2.9.3-Mistral-nemo/runs/c23odyoj) |
|
# workspace/axolotl/dolphin-2.9.3-mistral-nemo |
|
|
|
This model was trained from scratch on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5605 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 5e-06 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 16 |
|
- total_train_batch_size: 128 |
|
- total_eval_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 100 |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 0.5691 | 1.0162 | 983 | 0.5734 | |
|
| 0.5335 | 2.0174 | 1968 | 0.5609 | |
|
| 0.5297 | 2.9639 | 2901 | 0.5605 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.43.0.dev0 |
|
- Pytorch 2.2.2+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_cognitivecomputations__dolphin-2.9.3-mistral-nemo-12b) |
|
|
|
| Metric |Value| |
|
|-------------------|----:| |
|
|Avg. |24.58| |
|
|IFEval (0-Shot) |56.01| |
|
|BBH (3-Shot) |36.08| |
|
|MATH Lvl 5 (4-Shot)| 5.06| |
|
|GPQA (0-shot) | 8.72| |
|
|MuSR (0-shot) |15.21| |
|
|MMLU-PRO (5-shot) |26.41| |
|
|
|
|
