Training in progress, epoch 1

config.json

@@ -28,6 +28,6 @@
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.51.0",
-  "use_cache": true,
+  "use_cache": false,
   "vocab_size": 50304
 }

model-00001-of-00003.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7deffd31534904794040aa12bfa54f0f5719fd3eccf03bf201d0e56cf13769e3
+oid sha256:02f878a290f3f8182f489cc2773d0058985e50d14bef3346ddd259fa6790dd0f
 size 4997746208

model-00002-of-00003.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b07fdca73ed9f5508384fe0a336ce12e634bd48e51538af26df79cf1de6e8b49
+oid sha256:f3fa1b6efd4cfc00a30f3266390e6befd45a36460be3049b004da17fb1f6cb33
 size 4997236504

model-00003-of-00003.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a80bc89b0b20b67f94ca67adac52c1fcb57ad77c4493d35c7915b8434f673456
+oid sha256:4c9a507933a87f0d850c29f51c851a58e2771b1ccc69f869e2e27b42284b5ef5
 size 3843742800

tokenizer.json

@@ -1,6 +1,11 @@
 {
   "version": "1.0",
-  "truncation": null,
+  "truncation": {
+    "direction": "Right",
+    "max_length": 77,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
   "padding": null,
   "added_tokens": [
     {

training.log

@@ -1,6 +1,6 @@
-2025-09-23 17:54:28 - INFO - __main__ - Model parameters AuxFreeModelConfig(model_name_or_path='allenai/OLMoE-1B-7B-0125', 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, bias_update_speed=0.0001, remove_aux_loss=True, add_aux_free_loss=True, sinkhorn_routing=False, enable_forced_experts=False, num_forced_experts=2, bias_file_path='')
-2025-09-23 17:54:28 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='fw407/Commonsense-15K', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False)
-2025-09-23 17:54:28 - INFO - __main__ - Training parameters SFTConfig(
+2025-09-23 20:45:40 - INFO - __main__ - Model parameters AuxFreeModelConfig(model_name_or_path='allenai/OLMoE-1B-7B-0125', 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, bias_update_speed=0.0001, remove_aux_loss=True, add_aux_free_loss=True, sinkhorn_routing=False, enable_forced_experts=False, num_forced_experts=2, bias_file_path='')
+2025-09-23 20:45:40 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='fw407/Commonsense-15K', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False)
+2025-09-23 20:45:40 - INFO - __main__ - Training parameters SFTConfig(
 _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,
@@ -81,7 +81,7 @@ local_rank=0,
 log_level=info,
 log_level_replica=warning,
 log_on_each_node=True,
-logging_dir=/tmp/data/OLMoE-1B-7B-0125/aux_free_sft/commonsense15k/runs/Sep23_17-54-27_orchard-community-4,
+logging_dir=/tmp/data/OLMoE-1B-7B-0125/aux_free_sft/commonsense15k/runs/Sep23_20-45-39_orchard-community-4,
 logging_first_step=False,
 logging_nan_inf_filter=True,
 logging_steps=1,
@@ -151,11 +151,357 @@ warmup_ratio=0.1,
 warmup_steps=0,
 weight_decay=0.0,
 )
-2025-09-23 17:54:31 - INFO - __main__ - *** Initializing model kwargs ***
-2025-09-23 17:54:31 - INFO - __main__ - 🔧 Patching OLMOE with aux-free MoE blocks...
-2025-09-23 17:54:31 - INFO - __main__ - ✅ Using standard aux-free routing
-2025-09-23 17:55:17 - INFO - __main__ - *** Train ***
-2025-09-23 17:55:17 - INFO - __main__ - OlmoeForCausalLM(
+2025-09-23 20:45:41 - INFO - __main__ - *** Initializing model kwargs ***
+2025-09-23 20:45:41 - INFO - __main__ - 🔧 Patching OLMOE with aux-free MoE blocks...
+2025-09-23 20:45:41 - INFO - __main__ - ✅ Using standard aux-free routing
+2025-09-23 20:46:13 - INFO - __main__ - *** Train ***
+2025-09-23 20:46:13 - INFO - __main__ - OlmoeForCausalLM(
+  (model): OlmoeModel(
+    (embed_tokens): Embedding(50304, 2048, padding_idx=1)
+    (layers): ModuleList(
+      (0-15): 16 x OlmoeDecoderLayer(
+        (self_attn): OlmoeFlashAttention2(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): OlmoeRMSNorm((2048,), eps=1e-05)
+          (k_norm): OlmoeRMSNorm((2048,), eps=1e-05)
+        )
+        (mlp): AuxFreeOlmoeSparseMoeBlock(
+          (gate): Linear(in_features=2048, out_features=64, bias=False)
+          (experts): ModuleList(
+            (0-63): 64 x OlmoeMLP(
+              (gate_proj): Linear(in_features=2048, out_features=1024, bias=False)
+              (up_proj): Linear(in_features=2048, out_features=1024, bias=False)
+              (down_proj): Linear(in_features=1024, out_features=2048, bias=False)
+              (act_fn): SiLU()
+            )
+          )
+        )
+        (input_layernorm): OlmoeRMSNorm((2048,), eps=1e-05)
+        (post_attention_layernorm): OlmoeRMSNorm((2048,), eps=1e-05)
+      )
+    )
+    (norm): OlmoeRMSNorm((2048,), eps=1e-05)
+    (rotary_emb): OlmoeRotaryEmbedding()
+  )
+  (lm_head): Linear(in_features=2048, out_features=50304, bias=False)
+)
+2025-09-23 22:05:59 - INFO - __main__ - Model parameters AuxFreeModelConfig(model_name_or_path='allenai/OLMoE-1B-7B-0125', 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, bias_update_speed=0.0001, remove_aux_loss=True, add_aux_free_loss=True, sinkhorn_routing=False, enable_forced_experts=False, num_forced_experts=2, bias_file_path='')
+2025-09-23 22:05:59 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='fw407/Commonsense-15K', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False)
+2025-09-23 22:05:59 - INFO - __main__ - Training parameters SFTConfig(
+_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_tqdm=False,
+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,
+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=True,
+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=OLMoE-1B-7B-0125-aux-free-sft-commonsense15k,
+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=1e-05,
+length_column_name=length,
+load_best_model_at_end=False,
+local_rank=0,
+log_level=info,
+log_level_replica=warning,
+log_on_each_node=True,
+logging_dir=/tmp/data/OLMoE-1B-7B-0125/aux_free_sft/commonsense15k/runs/Sep23_22-05-58_orchard-community-4,
+logging_first_step=False,
+logging_nan_inf_filter=True,
+logging_steps=1,
+logging_strategy=IntervalStrategy.STEPS,
+lr_scheduler_kwargs={'min_lr_rate': 0.1},
+lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR,
+max_grad_norm=1.0,
+max_length=2048,
+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=1,
+optim=OptimizerNames.ADAMW_TORCH,
+optim_args=None,
+optim_target_modules=None,
+output_dir=/tmp/data/OLMoE-1B-7B-0125/aux_free_sft/commonsense15k,
+overwrite_hub_revision=False,
+overwrite_output_dir=True,
+packing=False,
+past_index=-1,
+per_device_eval_batch_size=16,
+per_device_train_batch_size=8,
+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,
+remove_unused_columns=True,
+report_to=['wandb'],
+restore_callback_states_from_checkpoint=False,
+resume_from_checkpoint=None,
+run_name=/tmp/data/OLMoE-1B-7B-0125/aux_free_sft/commonsense15k,
+save_on_each_node=False,
+save_only_model=False,
+save_safetensors=True,
+save_steps=500,
+save_strategy=SaveStrategy.EPOCH,
+save_total_limit=3,
+seed=1234,
+skip_memory_metrics=True,
+system_prompt=None,
+tf32=None,
+torch_compile=False,
+torch_compile_backend=None,
+torch_compile_mode=None,
+torch_empty_cache_steps=None,
+torchdynamo=None,
+tp_size=0,
+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,
+)
+2025-09-23 22:06:00 - INFO - __main__ - *** Initializing model kwargs ***
+2025-09-23 22:06:00 - INFO - __main__ - 🔧 Patching OLMOE with aux-free MoE blocks...
+2025-09-23 22:06:00 - INFO - __main__ - ��� Using standard aux-free routing
+2025-09-23 22:17:25 - INFO - __main__ - Model parameters AuxFreeModelConfig(model_name_or_path='allenai/OLMoE-1B-7B-0125', 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, bias_update_speed=0.0001, remove_aux_loss=True, add_aux_free_loss=True, sinkhorn_routing=False, enable_forced_experts=False, num_forced_experts=2, bias_file_path='')
+2025-09-23 22:17:25 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='fw407/Commonsense-15K', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False)
+2025-09-23 22:17:25 - INFO - __main__ - Training parameters SFTConfig(
+_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_tqdm=False,
+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,
+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=True,
+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=OLMoE-1B-7B-0125-aux-free-sft-commonsense15k,
+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=1e-05,
+length_column_name=length,
+load_best_model_at_end=False,
+local_rank=0,
+log_level=info,
+log_level_replica=warning,
+log_on_each_node=True,
+logging_dir=/tmp/data/OLMoE-1B-7B-0125/aux_free_sft/commonsense15k/runs/Sep23_22-17-24_orchard-community-4,
+logging_first_step=False,
+logging_nan_inf_filter=True,
+logging_steps=1,
+logging_strategy=IntervalStrategy.STEPS,
+lr_scheduler_kwargs={'min_lr_rate': 0.1},
+lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR,
+max_grad_norm=1.0,
+max_length=2048,
+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=1,
+optim=OptimizerNames.ADAMW_TORCH,
+optim_args=None,
+optim_target_modules=None,
+output_dir=/tmp/data/OLMoE-1B-7B-0125/aux_free_sft/commonsense15k,
+overwrite_hub_revision=False,
+overwrite_output_dir=True,
+packing=False,
+past_index=-1,
+per_device_eval_batch_size=16,
+per_device_train_batch_size=8,
+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,
+remove_unused_columns=True,
+report_to=['wandb'],
+restore_callback_states_from_checkpoint=False,
+resume_from_checkpoint=None,
+run_name=/tmp/data/OLMoE-1B-7B-0125/aux_free_sft/commonsense15k,
+save_on_each_node=False,
+save_only_model=False,
+save_safetensors=True,
+save_steps=500,
+save_strategy=SaveStrategy.EPOCH,
+save_total_limit=3,
+seed=1234,
+skip_memory_metrics=True,
+system_prompt=None,
+tf32=None,
+torch_compile=False,
+torch_compile_backend=None,
+torch_compile_mode=None,
+torch_empty_cache_steps=None,
+torchdynamo=None,
+tp_size=0,
+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,
+)
+2025-09-23 22:17:26 - INFO - __main__ - *** Initializing model kwargs ***
+2025-09-23 22:17:26 - INFO - __main__ - 🔧 Patching OLMOE with aux-free MoE blocks...
+2025-09-23 22:17:26 - INFO - __main__ - ✅ Using standard aux-free routing
+2025-09-23 22:17:57 - INFO - __main__ - *** Train ***
+2025-09-23 22:17:57 - INFO - __main__ - OlmoeForCausalLM(
   (model): OlmoeModel(
     (embed_tokens): Embedding(50304, 2048, padding_idx=1)
     (layers): ModuleList(
@@ -188,42 +534,3 @@ weight_decay=0.0,
   )
   (lm_head): Linear(in_features=2048, out_features=50304, bias=False)
 )
-2025-09-23 18:18:04 - INFO - __main__ - *** Save model ***
-2025-09-23 18:18:04 - INFO - __main__ - 💾 Saving MoE bias states...
-2025-09-23 18:18:04 - INFO - __main__ - 🔍 Searching for MoE layers with bias states...
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.0.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.1.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.2.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.3.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.4.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.5.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.6.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.7.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.8.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.9.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.10.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.11.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.12.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.13.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.14.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - ✅ Saved bias from model.layers.15.mlp: 64 experts, update_speed=0.000100
-2025-09-23 18:18:04 - INFO - __main__ - 🎉 Successfully saved 16 MoE bias states to /tmp/data/OLMoE-1B-7B-0125/aux_free_sft/commonsense15k/moe_bias_states.json
-2025-09-23 18:18:04 - INFO - __main__ - 📊 Bias States Summary:
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.0.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.1.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.2.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.3.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.4.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.5.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.6.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.7.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.8.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.9.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.10.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.11.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.12.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.13.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.14.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:04 - INFO - __main__ -   model.layers.15.mlp: 64 experts, range=[0.0000, 0.0000]
-2025-09-23 18:18:51 - INFO - __main__ - Model saved to /tmp/data/OLMoE-1B-7B-0125/aux_free_sft/commonsense15k
-2025-09-23 18:18:51 - INFO - __main__ - Pushing to hub...

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0457d8c6c5097c2ae04030c0d90d460c059b5425f9af93a7b7c6044ce1c5d671
+oid sha256:c4c17d8b3e16f73e3940542bc301a4fbc3e7f443cf3d5c692fc68fa33d313774
 size 7544