evilfreelancer
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r1_yandexgpt5-lite_lora

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 ---
 license: mit
 datasets:
-- mizinovmv/ru_example_DeepSeek-R1-Distill-Qwen-32B
 language:
-- ru
 base_model:
-- yandex/YandexGPT-5-Lite-8B-pretrain
 pipeline_tag: text-generation
 library_name: peft
 tags:
-- r1
-- reasoning
-- think
-- thinking
-- russian
-- general
 ---
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-### Framework versions
-- PEFT 0.14.0

 ---
 license: mit
 datasets:
+  - mizinovmv/ru_example_DeepSeek-R1-Distill-Qwen-32B
+  - lightblue/reasoning-multilingual-R1-Llama-70B-train
+  - Pinkstack/thinking-multilingual-30-23-small-690
+  - Vikhrmodels/reasoning-0.01-ru
+  - Vikhrmodels/russian_math
+  - kristaller486/Nebo-T1-Russian
 language:
+  - ru
+  - en
 base_model:
+  - yandex/YandexGPT-5-Lite-8B-pretrain
 pipeline_tag: text-generation
 library_name: peft
 tags:
+  - r1
+  - reasoning
+  - think
+  - thinking
+  - reflection
+  - russian
+  - general
 ---
+# Russian r1 / YandexGPT-5-Lite-8B-pretrain
+LoRA-адаптер для модели [YandexGPT-5-Lite-8B-pretrain](https://huggingface.co/yandex/YandexGPT-5-Lite-8B-pretrain)
+обученный на миксе из датасетов реализующих r1 (ризонинг) подход.
+Обученная модель способна имитировать логические размышлению на русском языке по аналогии с тем, как
+это делает `r1` от `DeepSeek` или `o1` от `OpenAI` .
+W&B отчёт: https://api.wandb.ai/links/evilfreelancer/zj6s02v4
+Обучение производилось при помощи утилиты [impruver](https://github.com/EvilFreelancer/impruver) используя конфигурацию
+[YandexGPT/8B_lora_r1](https://github.com/EvilFreelancer/impruver/blob/main/recipes/configs/YandexGPT/8B_lora_r1.yaml).
+На всё про всё ушло примерно 18 часов на RTX 4090, при этом понадобилось 23.5Гб видеопамяти.
+```yaml
+output_dir: ./models/YandexGPT-5-Lite_7B_lora_thinking
+train_path: ./train.YandexGPT-5-Lite_7B_lora_thinking.jsonl
+val_path: ./val.YandexGPT-5-Lite_7B_lora_thinking.jsonl
+datasets:
+  - name: mizinovmv/ru_example_DeepSeek-R1-Distill-Qwen-32B
+    converter: impruver.instruction_to_messages
+    add_global_bos: false
+    add_global_eos: false
+    mapping:
+      instruction: ru_query
+      output: response
+  - name: lightblue/reasoning-multilingual-R1-Llama-70B-train
+    converter: impruver.instruction_to_messages
+    add_global_bos: false
+    add_global_eos: false
+    mapping:
+      instruction: translated_prompt
+      output: response
+  - name: Pinkstack/thinking-multilingual-30-23-full-690
+    converter: impruver.instruction_to_messages
+    add_global_bos: false
+    add_global_eos: false
+  - name: Vikhrmodels/reasoning-0.01-ru
+    converter: impruver.reasoning_to_messages
+    add_global_bos: false
+    add_global_eos: false
+  - name: Vikhrmodels/russian_math
+    converter: impruver.reasoning_to_messages
+    add_global_bos: false
+    add_global_eos: false
+    mapping:
+      instruction: task
+      reasoning: solution
+      output: short answer
+  - name: kristaller486/Nebo-T1-Russian
+    converter: impruver.reasoning_to_messages
+    add_global_bos: false
+    add_global_eos: false
+    mapping:
+      instruction: prompt
+      reasoning: think
+      output: answer
+model:
+  class: transformers.AutoModelForCausalLM
+  name: yandex/YandexGPT-5-Lite-8B-pretrain
+  load_in_4bit: true
+  load_in_8bit: false
+  dtype: bf16
+lora:
+  r: 8            # higher increases accuracy and memory
+  lora_alpha: 16  # usually alpha=2*rank
+  lora_dropout: 0
+  bias: none
+  target_modules: [ 'q_proj', 'v_proj', 'output_proj' ]
+  task_type: CAUSAL_LM
+tokenizer:
+  class: transformers.AutoTokenizer
+  name: yandex/YandexGPT-5-Lite-8B-pretrain
+  max_tokens_count: 1400
+  special_tokens:
+    pad_token_id: 1
+    pad_token: <s>
+trainer:
+  eval_strategy: steps
+  save_strategy: steps
+  eval_steps: 1000
+  save_steps: 1000
+  per_device_train_batch_size: 1
+  per_device_eval_batch_size: 1
+  gradient_accumulation_steps: 8
+  logging_steps: 10
+  learning_rate: 0.000005
+  num_train_epochs: 2
+  lr_scheduler_type: cosine
+  warmup_steps: 100
+  optim: adamw_torch_4bit
+  metric_for_best_model: eval_loss
+  load_best_model_at_end: true
+  save_total_limit: 2
+  seed: 42
+  remove_unused_columns: false
+  max_grad_norm: 1.0
+  weight_decay: 0.01
+  torch_compile: false
+```