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training_config_sft.yaml

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+# Directory settings
+checkpoint_dir: "/polyglot/portuguese/checkpoints/models/Tucano2-qwen-0.5B-Instruct-SFT"
+train_dataset_dir:
+  # Total: ~874 million tokens (x5 epochs)
+  # Coding: ~2.3 million tokens
+  - /polyglot/portuguese/gigaverbo-v2-sft/code
+  # Function Calling: ~17.5 million tokens
+  - /polyglot/portuguese/gigaverbo-v2-sft/function_call
+  # General Instruction Following: ~700 million tokens
+  - /polyglot/portuguese/gigaverbo-v2-sft/general
+  # Math and CoT: ~27 million tokens
+  - /polyglot/portuguese/gigaverbo-v2-sft/math_cot
+  # Retrieval Augmented Generation: ~2.2 million tokens
+  - /polyglot/portuguese/gigaverbo-v2-sft/retrieval
+  # Structured Outputs: ~35 million tokens
+  - /polyglot/portuguese/gigaverbo-v2-sft/structured
+  # Summarization: ~290 thousand tokens
+  - /polyglot/portuguese/gigaverbo-v2-sft/summarization
+  # Translation: ~5.7 million tokens
+  - /polyglot/portuguese/gigaverbo-v2-sft/translation
+  # Chosen Data from Preference Dataset: ~14 million tokens
+  - /polyglot/portuguese/gigaverbo-v2-sft/dpo
+val_dataset_dir: null
+dataset_type: "jsonl"
+cache_dir: "/lustre/mlnvme/data/polyglot/.cache"
+
+# Data loading settings
+pin_memory: true
+num_workers_for_dataloader: 16
+shuffle_dataset: true
+mask_eos_token: false
+mask_pad_token: true
+
+# Model architecture settings
+vocab_size: 49152
+num_hidden_layers: 28
+num_attention_heads: 16
+num_key_value_heads: 8
+head_dim: 128
+hidden_size: 1024
+intermediate_size: 3072
+max_position_embeddings: 4096
+tie_word_embeddings: true
+hidden_act: "silu"
+output_hidden_states: false
+attn_implementation: "flash_attention_2"
+use_cache: false
+no_rope_layer_interval: null
+rope_theta: 1000000.0
+rope_scale_factor: null
+rms_norm_eps: 0.000001
+
+# Training settings
+total_batch_size: 524288
+micro_batch_size: 4
+gradient_accumulation_steps: 4
+eval_micro_batch_size: null
+num_train_epochs: 5
+warmup_ratio: 0.1
+max_learning_rate: 0.000085
+min_learning_rate: 0.0
+muon_learning_rate: null
+weight_decay: 0.0
+beta1: 0.9
+beta2: 0.95
+eps: 0.00000001
+lr_decay_type: "cosine"
+use_sqrt: false
+lr_decay_iters_coef: 1.
+seed: 42
+max_steps: 68635
+max_grad_norm: 1.0
+
+# SFT settings
+packing: false
+assistant_only_loss: true
+
+# Precision and optimization settings
+torch_compile: false
+mat_mul_precision: "highest"
+tf32: true
+bf16: true
+gradient_checkpointing: false
+use_liger_kernel: true
+static_graph: false
+
+# Hub settings
+push_to_hub: false
+hub_token: null
+hub_model_id: null
+
+# Tokenizer and Reference model
+tokenizer_name_or_path: "Polygl0t/Tucano2-qwen-0.5B-Base"
+chat_template_path: null
+reference_model: "Polygl0t/Tucano2-qwen-0.5B-Base"
+continual_pretraining: true
+
+# Checkpoint settings
+resume_from_checkpoint: null
+checkpointing_steps: 1000
+begin_new_stage: true
+stage_name: "single_cosine"
+
+# Miscellaneous settings
+sanity_check: false
+sanity_check_num_samples: 100000
+wandb_token: null
+wandb_id: "tucano2-qwen-0.5b-instruct-sft"
+wandb_project: "Polyglot"
+wandb_desc: "Developing LLMs for low-resource languages"