Model description:

Tikhomirov M., Chernyshev D. Impact of Tokenization on LLaMa Russian Adaptation //arXiv preprint arXiv:2312.02598. – 2023.

Parameter description:

Tested using https://github.com/IlyaGusev/rulm repo { "trainer": { "evaluation_strategy": "steps", "per_device_train_batch_size": 4, "per_device_eval_batch_size": 4, "gradient_accumulation_steps": 32, "eval_steps": 50, "save_steps": 50, "logging_steps": 5, "learning_rate": 0.00025, "num_train_epochs": 3, "lr_scheduler_type": "cosine", "warmup_steps": 30, "fp16": true, "bf16": false, "torch_compile": false, "optim": "adamw_torch" }, "lora": { "r": 16, "lora_alpha": 16, "lora_dropout": 0.05, "bias": "none", "target_modules": ["q_proj", "v_proj", "k_proj", "o_proj"], "task_type": "CAUSAL_LM" }, "load_in_8bit": false, "only_target_loss": true, "mode": "chat", "templates_path": "internal_prompts/saiga_v2.json", "model_name": "llama2_7b_darulm_unigram_tie_2e_16_11_23", "model_type": "causal", "max_tokens_count": 1024 }