adaptor: encstack_layers: 4 fuse_layers: - -1 - -4 - -8 - -12 fusion_type: tokenwise num_global_memory_tokens: 16 type: gated_residual use_encstack: true use_global_memory_tokens: true use_layer_fusion: true use_salience_gate: true data: eval_file: llm2seq/data/processed/vlsp/val.jsonl max_source_length: 8192 max_target_length: 768 source_prefix: "T\xF3m t\u1EAFt c\xE1c v\u0103n b\u1EA3n sau th\xE0nh m\u1ED9t \u0111\ o\u1EA1n ng\u1EAFn g\u1ECDn:\n" test_file: llm2seq/data/processed/vlsp/test.jsonl train_file: llm2seq/data/processed/vlsp/train.jsonl evaluation: eval_every_epochs: 1 metrics: - rouge - latency save_every_epochs: 1 generation: do_sample: false eval_batch_size: 16 max_new_tokens: 768 min_new_tokens: 32 no_repeat_ngram_size: 3 repetition_penalty: 1.05 temperature: 0.0 top_k: 0 top_p: 1.0 huggingface: enabled: true fail_on_error: true keep_local_epoch_checkpoints: 1 path_in_repo: checkpoints/phase2_lora_encoder_vlsp push_each_epoch: false push_final_best: true repo_id: null repo_type: model model: d_dec: 1024 d_enc: 2048 encoder_name: McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp encoder_torch_dtype: bfloat16 encoder_trainable: true lora_alpha: 32 lora_dropout: 0.05 lora_r: 16 lora_target_modules: - q_proj - k_proj - v_proj - o_proj - gate_proj - up_proj - down_proj use_lora_for_encoder: true project: name: llm2seq output_dir: runs/llm2seq_phase2_lora_encoder_vlsp task: summarization small_decoder: dropout: 0.1 ffn_size: 4096 hidden_size: 1024 max_seq_len: 1024 num_heads: 16 num_layers: 8 tie_embeddings: true training: adaptor_lr: 5.0e-05 batch_size: 2 bf16: true decoder_lr: 5.0e-05 encoder_lr: 0.0001 fp16: false grad_accum_steps: 8 gradient_checkpointing: true log_every_steps: 2 max_grad_norm: 1.0 min_lr_ratio: 0.1 num_train_epochs: 6 reset_best_eval_loss_on_resume: true reset_global_step_on_resume: true seed: 42 skip_optimizer_resume: true stage: phase2_lora_encoder_vlsp tf32: true warmup_ratio: 0.05 weight_decay: 0.01