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more train steps

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This commit is contained in:
Wing Lian
2026-04-25 02:17:48 +00:00
parent f77408a3d0
commit 1b9520cc8b
8 changed files with 105 additions and 49 deletions
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24
tests/e2e/multigpu/test_dist_muon_fsdp2.py
View File

@@ -31,8 +31,8 @@ def verify_training_success(temp_dir):
check_tensorboard_loss_decreased(
temp_dir + "/runs",
initial_window=3,
final_window=3,
initial_window=10,
final_window=10,
max_initial=5.0,
max_final=4.7,
)
@@ -56,12 +56,12 @@ class TestDistMuon:
},
],
"num_epochs": 1,
"max_steps": 30,
"warmup_steps": 3,
"max_steps": 80,
"warmup_steps": 5,
"micro_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
"learning_rate": 0.02,
"learning_rate": 2e-3,
"optimizer": "muon",
"weight_decay": 0.01,
"lr_scheduler": "cosine",
@@ -76,6 +76,9 @@ class TestDistMuon:
"reshard_after_forward": True,
},
"use_tensorboard": True,
"seed": 42,
"sample_packing": True,
"pad_to_sequence_len": True,
"bf16": True,
}
)
@@ -116,15 +119,15 @@ class TestDistMuon:
"adapter": "lora",
"lora_r": 8,
"lora_alpha": 16,
"lora_dropout": 0.05,
"lora_dropout": 0.0,
"lora_target_linear": True,
"num_epochs": 1,
"max_steps": 30,
"warmup_steps": 3,
"max_steps": 80,
"warmup_steps": 5,
"micro_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
"learning_rate": 0.02,
"learning_rate": 2e-3,
"optimizer": "muon",
"weight_decay": 0.01,
"lr_scheduler": "cosine",
@@ -139,6 +142,9 @@ class TestDistMuon:
"reshard_after_forward": True,
},
"use_tensorboard": True,
"seed": 42,
"sample_packing": True,
"pad_to_sequence_len": True,
"bf16": True,
}
)

27
tests/e2e/multigpu/test_fsdp1.py
View File

@@ -32,8 +32,8 @@ def verify_training_success(temp_dir):
check_tensorboard_loss_decreased(
temp_dir + "/runs",
initial_window=3,
final_window=3,
initial_window=10,
final_window=10,
max_initial=5.0,
max_final=4.7,
)
@@ -60,7 +60,8 @@ class TestFSDP1:
},
],
"num_epochs": 1,
"max_steps": 20,
"max_steps": 80,
"warmup_steps": 5,
"micro_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
@@ -80,6 +81,9 @@ class TestFSDP1:
"fsdp_use_orig_params": False,
},
"use_tensorboard": True,
"seed": 42,
"sample_packing": True,
"pad_to_sequence_len": True,
"bf16": True,
}
)
@@ -136,12 +140,12 @@ class TestFSDP1:
"lora_dropout": 0.0,
"lora_target_linear": True,
"num_epochs": 1,
"max_steps": 30,
"warmup_steps": 3,
"max_steps": 80,
"warmup_steps": 5,
"micro_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
"learning_rate": 2e-4,
"learning_rate": 1e-3,
"optimizer": "adamw_torch_fused",
"lr_scheduler": "cosine",
"flash_attention": True,
@@ -157,6 +161,9 @@ class TestFSDP1:
"fsdp_use_orig_params": False,
},
"use_tensorboard": True,
"seed": 42,
"sample_packing": True,
"pad_to_sequence_len": True,
"bf16": True,
}
)
@@ -217,6 +224,9 @@ class TestFSDP1:
"fsdp_use_orig_params": False,
},
"use_tensorboard": True,
"seed": 42,
"sample_packing": True,
"pad_to_sequence_len": True,
}
)
@@ -279,7 +289,7 @@ class TestFSDP1:
"micro_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
"learning_rate": 2e-4,
"learning_rate": 1e-3,
"optimizer": "adamw_torch_fused",
"lr_scheduler": "cosine",
"flash_attention": True,
@@ -295,6 +305,9 @@ class TestFSDP1:
"fsdp_use_orig_params": False,
},
"use_tensorboard": True,
"seed": 42,
"sample_packing": True,
"pad_to_sequence_len": True,
"bf16": "auto",
"tf32": True,
}

55
tests/e2e/multigpu/test_fsdp2.py
View File

@@ -32,8 +32,8 @@ def verify_training_success(temp_dir):
check_tensorboard_loss_decreased(
temp_dir + "/runs",
initial_window=3,
final_window=3,
initial_window=10,
final_window=10,
max_initial=5.0,
max_final=4.7,
)
@@ -61,7 +61,8 @@ class TestFSDP2:
},
],
"num_epochs": 1,
"max_steps": 20,
"max_steps": 80,
"warmup_steps": 5,
"micro_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
@@ -79,6 +80,9 @@ class TestFSDP2:
"reshard_after_forward": True,
},
"use_tensorboard": True,
"seed": 42,
"sample_packing": True,
"pad_to_sequence_len": True,
"bf16": True,
}
)
@@ -121,14 +125,15 @@ class TestFSDP2:
"adapter": "lora",
"lora_r": 8,
"lora_alpha": 16,
"lora_dropout": 0.05,
"lora_dropout": 0.0,
"lora_target_linear": True,
"num_epochs": 1,
"max_steps": 20,
"max_steps": 80,
"warmup_steps": 5,
"micro_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
"learning_rate": 2e-4,
"learning_rate": 1e-3,
"optimizer": "adamw_torch_fused",
"lr_scheduler": "cosine",
"flash_attention": True,
@@ -142,6 +147,9 @@ class TestFSDP2:
"reshard_after_forward": True,
},
"use_tensorboard": True,
"seed": 42,
"sample_packing": True,
"pad_to_sequence_len": True,
"bf16": True,
# explicitly disable LORA kernels, as they may be auto-enabled
"lora_mlp_kernel": False,
@@ -188,11 +196,12 @@ class TestFSDP2:
"lora_alpha": 16,
"lora_target_linear": True,
"num_epochs": 1,
"max_steps": 20,
"max_steps": 80,
"warmup_steps": 5,
"micro_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
"learning_rate": 2e-4,
"learning_rate": 1e-3,
"optimizer": "adamw_torch_fused",
"lr_scheduler": "cosine",
"flash_attention": True,
@@ -206,6 +215,9 @@ class TestFSDP2:
"reshard_after_forward": True,
},
"use_tensorboard": True,
"seed": 42,
"sample_packing": True,
"pad_to_sequence_len": True,
"bf16": True,
"lora_mlp_kernel": True,
"lora_qkv_kernel": True,
@@ -250,14 +262,15 @@ class TestFSDP2:
"adapter": "qlora",
"lora_r": 8,
"lora_alpha": 16,
"lora_dropout": 0.05,
"lora_dropout": 0.0,
"lora_target_linear": True,
"num_epochs": 1,
"max_steps": 20,
"max_steps": 80,
"warmup_steps": 5,
"micro_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
"learning_rate": 2e-4,
"learning_rate": 1e-3,
"optimizer": "adamw_torch_fused",
"lr_scheduler": "cosine",
"flash_attention": True,
@@ -271,6 +284,9 @@ class TestFSDP2:
"reshard_after_forward": True,
},
"use_tensorboard": True,
"seed": 42,
"sample_packing": True,
"pad_to_sequence_len": True,
"bf16": True,
}
)
@@ -314,12 +330,12 @@ class TestFSDP2:
"lora_alpha": 16,
"lora_target_linear": True,
"num_epochs": 1,
"max_steps": 30,
"warmup_steps": 3,
"max_steps": 80,
"warmup_steps": 5,
"micro_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
"learning_rate": 2e-4,
"learning_rate": 1e-3,
"optimizer": "adamw_torch_fused",
"lr_scheduler": "cosine",
"flash_attention": True,
@@ -333,6 +349,9 @@ class TestFSDP2:
"reshard_after_forward": True,
},
"use_tensorboard": True,
"seed": 42,
"sample_packing": True,
"pad_to_sequence_len": True,
"bf16": True,
"lora_mlp_kernel": True,
"lora_qkv_kernel": True,
@@ -395,6 +414,9 @@ class TestFSDP2:
"reshard_after_forward": True,
},
"use_tensorboard": True,
"seed": 42,
"sample_packing": True,
"pad_to_sequence_len": True,
}
)
@@ -443,7 +465,7 @@ class TestFSDP2:
"micro_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
"learning_rate": 2e-4,
"learning_rate": 1e-3,
"optimizer": "adamw_torch_fused",
"lr_scheduler": "cosine",
"flash_attention": True,
@@ -457,6 +479,9 @@ class TestFSDP2:
"reshard_after_forward": True,
},
"use_tensorboard": True,
"seed": 42,
"sample_packing": True,
"pad_to_sequence_len": True,
}
)

2
tests/e2e/patched/test_falcon_samplepack.py
View File

@@ -61,6 +61,7 @@ class TestFalconPatched(unittest.TestCase):
"bf16": "auto",
"save_first_step": False,
"use_tensorboard": True,
"seed": 42,
}
)
cfg = validate_config(cfg)
@@ -110,6 +111,7 @@ class TestFalconPatched(unittest.TestCase):
"bf16": "auto",
"save_first_step": False,
"use_tensorboard": True,
"seed": 42,
}
)
cfg = validate_config(cfg)

2
tests/e2e/patched/test_mistral_samplepack.py
View File

@@ -63,6 +63,7 @@ class TestMistral(unittest.TestCase):
"bf16": "auto",
"save_first_step": False,
"use_tensorboard": True,
"seed": 42,
}
)
cfg = validate_config(cfg)
@@ -113,6 +114,7 @@ class TestMistral(unittest.TestCase):
"bf16": "auto",
"save_first_step": False,
"use_tensorboard": True,
"seed": 42,
}
)
cfg = validate_config(cfg)

28
tests/e2e/patched/test_mixtral_samplepack.py
View File

@@ -33,7 +33,7 @@ class TestMixtral(unittest.TestCase):
"adapter": "qlora",
"lora_r": 16,
"lora_alpha": 32,
"lora_dropout": 0.1,
"lora_dropout": 0.0,
"lora_target_linear": True,
"val_set_size": 0.05,
"special_tokens": {},
@@ -47,16 +47,18 @@ class TestMixtral(unittest.TestCase):
"micro_batch_size": 4,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
"learning_rate": 2e-4,
"learning_rate": 3e-3,
"optimizer": "adamw_bnb_8bit",
"lr_scheduler": "cosine",
"max_steps": 50,
"max_steps": 80,
"warmup_steps": 5,
"logging_steps": 1,
"save_steps": 50,
"eval_steps": 50,
"save_steps": 80,
"eval_steps": 80,
"bf16": "auto",
"save_first_step": False,
"use_tensorboard": True,
"seed": 42,
}
)
cfg = validate_config(cfg)
@@ -67,8 +69,8 @@ class TestMixtral(unittest.TestCase):
check_model_output_exists(temp_dir, cfg)
check_tensorboard_loss_decreased(
temp_dir + "/runs",
initial_window=5,
final_window=5,
initial_window=10,
final_window=10,
max_initial=6.0,
max_final=4.7,
)
@@ -93,16 +95,18 @@ class TestMixtral(unittest.TestCase):
"micro_batch_size": 4,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
"learning_rate": 2e-4,
"optimizer": "adamw_bnb_8bit",
"learning_rate": 5e-4,
"optimizer": "adamw_torch_fused",
"lr_scheduler": "cosine",
"max_steps": 50,
"max_steps": 80,
"warmup_steps": 5,
"logging_steps": 1,
"save_steps": 50,
"eval_steps": 50,
"save_steps": 80,
"eval_steps": 80,
"bf16": "auto",
"save_first_step": False,
"use_tensorboard": True,
"seed": 42,
}
)
cfg = validate_config(cfg)

2
tests/e2e/patched/test_phi_multipack.py
View File

@@ -60,6 +60,7 @@ class TestPhiMultipack(unittest.TestCase):
"bf16": "auto",
"save_first_step": False,
"use_tensorboard": True,
"seed": 42,
}
)
@@ -120,6 +121,7 @@ class TestPhiMultipack(unittest.TestCase):
"bf16": "auto",
"save_first_step": False,
"use_tensorboard": True,
"seed": 42,
}
)

14
tests/e2e/test_falcon.py
View File

@@ -166,17 +166,19 @@ class TestFalcon(unittest.TestCase):
},
],
"num_epochs": 2,
"sample_packing": True,
"pad_to_sequence_len": True,
"micro_batch_size": 4,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
"learning_rate": 2e-4,
"learning_rate": 5e-4,
"optimizer": "adamw_torch_fused",
"lr_scheduler": "cosine",
"max_steps": 50,
"max_steps": 80,
"warmup_steps": 5,
"logging_steps": 1,
"save_steps": 50,
"eval_steps": 50,
"save_steps": 80,
"eval_steps": 80,
"bf16": "auto",
"save_first_step": False,
"use_tensorboard": True,
@@ -192,8 +194,8 @@ class TestFalcon(unittest.TestCase):
check_model_output_exists(temp_dir, cfg)
check_tensorboard_loss_decreased(
temp_dir + "/runs",
initial_window=5,
final_window=5,
initial_window=10,
final_window=10,
max_initial=5.0,
max_final=4.7,
)