Training in progress, step 300

model-00001-of-00002.safetensors

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model-00002-of-00002.safetensors

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training.log

@@ -2338,3 +2338,237 @@ Memory reserved: 36896.0
   )
   (lm_head): Linear(in_features=2048, out_features=102400, bias=False)
 )
+2025-05-02 11:51:33 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=True, attn_implementation='flash_attention_2', use_peft=False, lora_r=16, lora_alpha=32, lora_dropout=0.05, lora_target_modules=None, lora_modules_to_save=None, lora_task_type='CAUSAL_LM', use_rslora=False, load_in_8bit=False, load_in_4bit=False, bnb_4bit_quant_type='nf4', use_bnb_nested_quant=False)
+2025-05-02 11:51:33 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='lmms-lab/Math10K', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False)
+2025-05-02 11:51:33 - INFO - __main__ - Training parameters EfficientDistillationConfig(
+_n_gpu=1,
+accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False},
+adafactor=False,
+adam_beta1=0.9,
+adam_beta2=0.999,
+adam_epsilon=1e-08,
+auto_find_batch_size=False,
+average_tokens_across_devices=False,
+batch_eval_metrics=False,
+benchmarks=[],
+bf16=True,
+bf16_full_eval=False,
+callbacks=[],
+chars_per_token=<CHARS_PER_TOKEN>,
+chat_template=None,
+data_seed=None,
+dataloader_drop_last=False,
+dataloader_num_workers=0,
+dataloader_persistent_workers=False,
+dataloader_pin_memory=True,
+dataloader_prefetch_factor=None,
+dataset_batch_size=None,
+dataset_kwargs=None,
+dataset_num_proc=None,
+dataset_text_field=text,
+ddp_backend=None,
+ddp_broadcast_buffers=None,
+ddp_bucket_cap_mb=None,
+ddp_find_unused_parameters=None,
+ddp_timeout=1800000000,
+debug=[],
+deepspeed=None,
+disable_dropout=True,
+disable_tqdm=False,
+dispatch_batches=None,
+do_eval=True,
+do_predict=False,
+do_train=False,
+eval_accumulation_steps=None,
+eval_delay=0,
+eval_do_concat_batches=True,
+eval_on_start=False,
+eval_packing=None,
+eval_steps=None,
+eval_strategy=IntervalStrategy.NO,
+eval_use_gather_object=False,
+evaluation_strategy=None,
+fp16=False,
+fp16_backend=auto,
+fp16_full_eval=False,
+fp16_opt_level=O1,
+fsdp=[],
+fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
+fsdp_min_num_params=0,
+fsdp_transformer_layer_cls_to_wrap=None,
+full_determinism=False,
+gradient_accumulation_steps=1,
+gradient_checkpointing=False,
+gradient_checkpointing_kwargs={'use_reentrant': False},
+greater_is_better=None,
+group_by_length=False,
+half_precision_backend=auto,
+hub_always_push=False,
+hub_model_id=Deepseek-Coder-V2-Lite-13B-Instruct-Open-R1-Distill,
+hub_model_revision=main,
+hub_private_repo=None,
+hub_strategy=HubStrategy.EVERY_SAVE,
+hub_token=<HUB_TOKEN>,
+ignore_data_skip=False,
+include_for_metrics=[],
+include_inputs_for_metrics=False,
+include_num_input_tokens_seen=False,
+include_tokens_per_second=False,
+jit_mode_eval=False,
+label_names=None,
+label_smoothing_factor=0.0,
+learning_rate=2e-05,
+length_column_name=length,
+lmbda=0.0,
+load_best_model_at_end=False,
+local_rank=0,
+log_level=info,
+log_level_replica=warning,
+log_on_each_node=True,
+logging_dir=data/DeepSeek-Coder-V2-Lite-Instruct/distill_math10K/runs/May02_11-51-33_q-h100,
+logging_first_step=False,
+logging_nan_inf_filter=True,
+logging_steps=1,
+logging_strategy=IntervalStrategy.STEPS,
+loss_type=forward_kl,
+lr_scheduler_kwargs={'min_lr_rate': 0.1},
+lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR,
+max_grad_norm=1.0,
+max_length=4096,
+max_new_tokens=1024,
+max_seq_length=None,
+max_steps=-1,
+metric_for_best_model=None,
+model_init_kwargs=None,
+mp_parameters=,
+neftune_noise_alpha=None,
+no_cuda=False,
+num_of_sequences=None,
+num_train_epochs=3,
+optim=OptimizerNames.ADAMW_TORCH,
+optim_args=None,
+optim_target_modules=None,
+output_dir=data/DeepSeek-Coder-V2-Lite-Instruct/distill_math10K,
+overwrite_hub_revision=False,
+overwrite_output_dir=True,
+packing=False,
+past_index=-1,
+per_device_eval_batch_size=16,
+per_device_train_batch_size=4,
+prediction_loss_only=False,
+push_to_hub=True,
+push_to_hub_model_id=None,
+push_to_hub_organization=None,
+push_to_hub_revision=False,
+push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
+ray_scope=last,
+reduction=sum,
+remove_unused_columns=True,
+report_to=['wandb'],
+restore_callback_states_from_checkpoint=False,
+resume_from_checkpoint=/home/deepseek/hector/test/data/DeepSeek-Coder-V2-Lite-Instruct/distill_math10K/checkpoint-200,
+run_name=data/DeepSeek-Coder-V2-Lite-Instruct/distill_math10K,
+save_on_each_node=False,
+save_only_model=False,
+save_safetensors=True,
+save_steps=60,
+save_strategy=SaveStrategy.STEPS,
+save_total_limit=2,
+seed=1234,
+skip_memory_metrics=True,
+split_batches=None,
+system_prompt=None,
+teacher_model_init_kwargs=None,
+teacher_model_name_or_path=None,
+temperature=0.9,
+tf32=None,
+torch_compile=False,
+torch_compile_backend=None,
+torch_compile_mode=None,
+torch_empty_cache_steps=None,
+torchdynamo=None,
+tpu_metrics_debug=False,
+tpu_num_cores=None,
+use_cpu=False,
+use_ipex=False,
+use_legacy_prediction_loop=False,
+use_liger=False,
+use_liger_kernel=False,
+use_mps_device=False,
+wandb_entity=None,
+wandb_project=None,
+warmup_ratio=0.1,
+warmup_steps=0,
+weight_decay=0.0,
+)
+2025-05-02 11:51:37 - INFO - __main__ - *** Initializing model kwargs ***
+2025-05-02 11:51:37 - INFO - __main__ - Loaded top k experts from data/DeepSeek-Coder-V2-Lite-Instruct/distill_math10K/top_6_experts_lmms-lab_Math10K.json: {'model.layers.1.mlp': [51, 61, 44, 45, 14, 22], 'model.layers.2.mlp': [27, 25, 18, 13, 3, 23], 'model.layers.3.mlp': [54, 25, 41, 23, 28, 57], 'model.layers.4.mlp': [37, 21, 33, 49, 11, 14], 'model.layers.5.mlp': [54, 47, 35, 20, 52, 9], 'model.layers.6.mlp': [22, 1, 13, 45, 42, 47], 'model.layers.7.mlp': [58, 43, 24, 18, 44, 62], 'model.layers.8.mlp': [47, 39, 56, 30, 54, 58], 'model.layers.9.mlp': [31, 13, 22, 24, 12, 32], 'model.layers.10.mlp': [47, 19, 42, 2, 13, 22], 'model.layers.11.mlp': [29, 11, 17, 10, 59, 22], 'model.layers.12.mlp': [5, 56, 3, 59, 4, 26], 'model.layers.13.mlp': [10, 42, 58, 14, 47, 17], 'model.layers.14.mlp': [51, 7, 27, 18, 31, 61], 'model.layers.15.mlp': [24, 55, 5, 17, 14, 41], 'model.layers.16.mlp': [61, 33, 63, 49, 19, 9], 'model.layers.17.mlp': [0, 26, 43, 32, 27, 29], 'model.layers.18.mlp': [5, 56, 42, 36, 2, 1], 'model.layers.19.mlp': [2, 23, 24, 36, 40, 0], 'model.layers.20.mlp': [1, 56, 38, 20, 48, 58], 'model.layers.21.mlp': [5, 13, 15, 28, 19, 10], 'model.layers.22.mlp': [58, 32, 31, 3, 45, 14], 'model.layers.23.mlp': [20, 0, 58, 45, 33, 42], 'model.layers.24.mlp': [62, 7, 42, 47, 10, 63], 'model.layers.25.mlp': [45, 48, 39, 11, 46, 38], 'model.layers.26.mlp': [46, 49, 6, 13, 11, 57]}
+2025-05-02 11:51:37 - INFO - __main__ - Model memory before loading model:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-05-02 11:51:47 - INFO - __main__ - Model memory after loading model:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-05-02 11:51:47 - INFO - __main__ - Replacing MoE layers with dense layers using selected experts...
+2025-05-02 11:52:02 - INFO - __main__ - MoE layers replaced with Dense MLP layers
+2025-05-02 11:52:02 - INFO - __main__ - Model memory after replacing MoE with dense:Memory allocated: 0.0
+Memory reserved: 0.0
+2025-05-02 11:52:02 - INFO - __main__ - Initializing EfficientDistillationTrainer...
+2025-05-02 11:52:27 - INFO - __main__ - Model memory after trainer initialization:Memory allocated: 31126.0048828125
+Memory reserved: 36896.0
+2025-05-02 11:52:27 - INFO - __main__ - *** Starting training ***
+2025-05-02 11:52:27 - INFO - __main__ - Model architecture: DeepseekV2ForCausalLM(
+  (model): DeepseekV2Model(
+    (embed_tokens): Embedding(102400, 2048)
+    (layers): ModuleList(
+      (0): DeepseekV2DecoderLayer(
+        (self_attn): DeepseekV2FlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=3072, bias=False)
+          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=576, bias=False)
+          (kv_a_layernorm): DeepseekV2RMSNorm()
+          (kv_b_proj): Linear(in_features=512, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (rotary_emb): DeepseekV2YarnRotaryEmbedding()
+        )
+        (mlp): DeepseekV2MLP(
+          (gate_proj): Linear(in_features=2048, out_features=10944, bias=False)
+          (up_proj): Linear(in_features=2048, out_features=10944, bias=False)
+          (down_proj): Linear(in_features=10944, out_features=2048, bias=False)
+          (act_fn): SiLU()
+        )
+        (input_layernorm): DeepseekV2RMSNorm()
+        (post_attention_layernorm): DeepseekV2RMSNorm()
+      )
+      (1-26): 26 x DeepseekV2DecoderLayer(
+        (self_attn): DeepseekV2FlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=3072, bias=False)
+          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=576, bias=False)
+          (kv_a_layernorm): DeepseekV2RMSNorm()
+          (kv_b_proj): Linear(in_features=512, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (rotary_emb): DeepseekV2YarnRotaryEmbedding()
+        )
+        (mlp): DeepseekV2MoE(
+          (gate): MoEGate()
+          (shared_experts): DeepseekV2MLP(
+            (gate_proj): Linear(in_features=2048, out_features=2816, bias=False)
+            (up_proj): Linear(in_features=2048, out_features=2816, bias=False)
+            (down_proj): Linear(in_features=2816, out_features=2048, bias=False)
+            (act_fn): SiLU()
+          )
+          (selected_experts): ModuleList(
+            (0-5): 6 x DeepseekV2MLP(
+              (gate_proj): Linear(in_features=2048, out_features=1408, bias=False)
+              (up_proj): Linear(in_features=2048, out_features=1408, bias=False)
+              (down_proj): Linear(in_features=1408, out_features=2048, bias=False)
+              (act_fn): SiLU()
+            )
+          )
+          (experts): ModuleList()
+        )
+        (input_layernorm): DeepseekV2RMSNorm()
+        (post_attention_layernorm): DeepseekV2RMSNorm()
+      )
+    )
+    (norm): DeepseekV2RMSNorm()
+  )
+  (lm_head): Linear(in_features=2048, out_features=102400, bias=False)
+)

training_args.bin

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