初始化项目，由ModelHub XC社区提供模型

Model: Polygl0t/Tucano2-qwen-3.7B-Base
Source: Original Platform

training_config.yaml

@@ -0,0 +1,99 @@
+# Directory settings
+checkpoint_dir: "/lustre/scratch/data/polyglot_datasets/portuguese/checkpoints/models/Tucano2-qwen-3.7B-Base"
+train_dataset_dir:
+  # Total: ~48B
+  # # Web Text (~28B, 58%)
+  - /lustre/scratch/data/polyglot_datasets/portuguese/tokenized/gigaverbo_v2/4 # 28B (PT)
+  - /lustre/scratch/data/polyglot_datasets/portuguese/tokenized/gigaverbo_v2/5 # 0.1B (PT)
+  - /lustre/scratch/data/polyglot_datasets/portuguese/tokenized/gigaverbo_v2/5 # 0.1B (PT)
+  # # Synthetic Text (~20B, 42%)
+  - /lustre/scratch/data/polyglot_datasets/portuguese/tokenized/gigaverbo_v2_synth # 10B (PT)
+  - /lustre/scratch/data/polyglot_datasets/portuguese/tokenized/gigaverbo_v2_synth # 10B (PT)
+val_dataset_dir: "/lustre/scratch/data/polyglot_datasets/portuguese/tokenized/validation"
+dataset_type: "parquet"
+cache_dir: "/lustre/scratch/data/polyglot_datasets/.cache"
+
+# Data loading settings
+pin_memory: true
+num_workers_for_dataloader: 16
+prefetch_factor: 4
+shuffle_dataset: true
+mask_eos_token: false
+mask_pad_token: false
+
+# Model architecture settings
+vocab_size: 49152
+num_hidden_layers: 36
+num_attention_heads: 32
+num_key_value_heads: 8
+head_dim: 128
+hidden_size: 2560
+intermediate_size: 9728
+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: 1048576
+micro_batch_size: 16
+eval_micro_batch_size: 16
+num_train_epochs: 1
+warmup_steps: 100
+max_learning_rate: 0.000075
+min_learning_rate: 0.0
+muon_learning_rate: 0.001
+weight_decay: 0.1
+beta1: 0.9
+beta2: 0.95
+eps: 0.00000001
+lr_decay_type: "cosine"
+use_sqrt: true
+lr_decay_iters_coef: 1.
+seed: 42
+max_steps: 50000
+max_grad_norm: 1.0
+
+# Precision, optimization, and sharding settings
+torch_compile: false
+mat_mul_precision: "highest"
+tf32: true
+bf16: true
+gradient_checkpointing: true
+use_liger_kernel: true
+fsdp_mixed_precision: true
+dp_shard: null
+full_shard: false
+cpu_offload: false
+explicit_prefetching: true
+
+# Hub settings
+push_to_hub: false
+hub_token: null
+hub_model_id: null
+
+# Tokenizer and Reference model
+tokenizer_name_or_path: "/lustre/scratch/data/polyglot_datasets/portuguese/checkpoints/models/Tucano2-qwen-3.7B-Base/step-0"
+chat_template_path: null
+reference_model: "/lustre/scratch/data/polyglot_datasets/portuguese/checkpoints/models/Tucano2-qwen-3.7B-Base/step-0"
+continual_pretraining: true
+
+# Checkpoint settings
+resume_from_checkpoint: null
+checkpointing_steps: 2500
+begin_new_stage: false
+stage_name: "single_cosine"
+
+# Miscellaneous settings
+sanity_check: false
+sanity_check_num_samples: 100000
+wandb_token: null
+wandb_id: "tucano2-qwen-3.7b"
+wandb_project: "Polyglot"
+wandb_desc: "Developing LLMs for low-resource languages"