more train steps
This commit is contained in:
@@ -31,8 +31,8 @@ def verify_training_success(temp_dir):
|
|||||||
|
|
||||||
check_tensorboard_loss_decreased(
|
check_tensorboard_loss_decreased(
|
||||||
temp_dir + "/runs",
|
temp_dir + "/runs",
|
||||||
initial_window=3,
|
initial_window=10,
|
||||||
final_window=3,
|
final_window=10,
|
||||||
max_initial=5.0,
|
max_initial=5.0,
|
||||||
max_final=4.7,
|
max_final=4.7,
|
||||||
)
|
)
|
||||||
@@ -56,12 +56,12 @@ class TestDistMuon:
|
|||||||
},
|
},
|
||||||
],
|
],
|
||||||
"num_epochs": 1,
|
"num_epochs": 1,
|
||||||
"max_steps": 30,
|
"max_steps": 80,
|
||||||
"warmup_steps": 3,
|
"warmup_steps": 5,
|
||||||
"micro_batch_size": 2,
|
"micro_batch_size": 2,
|
||||||
"gradient_accumulation_steps": 1,
|
"gradient_accumulation_steps": 1,
|
||||||
"output_dir": temp_dir,
|
"output_dir": temp_dir,
|
||||||
"learning_rate": 0.02,
|
"learning_rate": 2e-3,
|
||||||
"optimizer": "muon",
|
"optimizer": "muon",
|
||||||
"weight_decay": 0.01,
|
"weight_decay": 0.01,
|
||||||
"lr_scheduler": "cosine",
|
"lr_scheduler": "cosine",
|
||||||
@@ -76,6 +76,9 @@ class TestDistMuon:
|
|||||||
"reshard_after_forward": True,
|
"reshard_after_forward": True,
|
||||||
},
|
},
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
|
"sample_packing": True,
|
||||||
|
"pad_to_sequence_len": True,
|
||||||
"bf16": True,
|
"bf16": True,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
@@ -116,15 +119,15 @@ class TestDistMuon:
|
|||||||
"adapter": "lora",
|
"adapter": "lora",
|
||||||
"lora_r": 8,
|
"lora_r": 8,
|
||||||
"lora_alpha": 16,
|
"lora_alpha": 16,
|
||||||
"lora_dropout": 0.05,
|
"lora_dropout": 0.0,
|
||||||
"lora_target_linear": True,
|
"lora_target_linear": True,
|
||||||
"num_epochs": 1,
|
"num_epochs": 1,
|
||||||
"max_steps": 30,
|
"max_steps": 80,
|
||||||
"warmup_steps": 3,
|
"warmup_steps": 5,
|
||||||
"micro_batch_size": 2,
|
"micro_batch_size": 2,
|
||||||
"gradient_accumulation_steps": 1,
|
"gradient_accumulation_steps": 1,
|
||||||
"output_dir": temp_dir,
|
"output_dir": temp_dir,
|
||||||
"learning_rate": 0.02,
|
"learning_rate": 2e-3,
|
||||||
"optimizer": "muon",
|
"optimizer": "muon",
|
||||||
"weight_decay": 0.01,
|
"weight_decay": 0.01,
|
||||||
"lr_scheduler": "cosine",
|
"lr_scheduler": "cosine",
|
||||||
@@ -139,6 +142,9 @@ class TestDistMuon:
|
|||||||
"reshard_after_forward": True,
|
"reshard_after_forward": True,
|
||||||
},
|
},
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
|
"sample_packing": True,
|
||||||
|
"pad_to_sequence_len": True,
|
||||||
"bf16": True,
|
"bf16": True,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
|
|||||||
@@ -32,8 +32,8 @@ def verify_training_success(temp_dir):
|
|||||||
|
|
||||||
check_tensorboard_loss_decreased(
|
check_tensorboard_loss_decreased(
|
||||||
temp_dir + "/runs",
|
temp_dir + "/runs",
|
||||||
initial_window=3,
|
initial_window=10,
|
||||||
final_window=3,
|
final_window=10,
|
||||||
max_initial=5.0,
|
max_initial=5.0,
|
||||||
max_final=4.7,
|
max_final=4.7,
|
||||||
)
|
)
|
||||||
@@ -60,7 +60,8 @@ class TestFSDP1:
|
|||||||
},
|
},
|
||||||
],
|
],
|
||||||
"num_epochs": 1,
|
"num_epochs": 1,
|
||||||
"max_steps": 20,
|
"max_steps": 80,
|
||||||
|
"warmup_steps": 5,
|
||||||
"micro_batch_size": 2,
|
"micro_batch_size": 2,
|
||||||
"gradient_accumulation_steps": 1,
|
"gradient_accumulation_steps": 1,
|
||||||
"output_dir": temp_dir,
|
"output_dir": temp_dir,
|
||||||
@@ -80,6 +81,9 @@ class TestFSDP1:
|
|||||||
"fsdp_use_orig_params": False,
|
"fsdp_use_orig_params": False,
|
||||||
},
|
},
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
|
"sample_packing": True,
|
||||||
|
"pad_to_sequence_len": True,
|
||||||
"bf16": True,
|
"bf16": True,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
@@ -136,12 +140,12 @@ class TestFSDP1:
|
|||||||
"lora_dropout": 0.0,
|
"lora_dropout": 0.0,
|
||||||
"lora_target_linear": True,
|
"lora_target_linear": True,
|
||||||
"num_epochs": 1,
|
"num_epochs": 1,
|
||||||
"max_steps": 30,
|
"max_steps": 80,
|
||||||
"warmup_steps": 3,
|
"warmup_steps": 5,
|
||||||
"micro_batch_size": 2,
|
"micro_batch_size": 2,
|
||||||
"gradient_accumulation_steps": 1,
|
"gradient_accumulation_steps": 1,
|
||||||
"output_dir": temp_dir,
|
"output_dir": temp_dir,
|
||||||
"learning_rate": 2e-4,
|
"learning_rate": 1e-3,
|
||||||
"optimizer": "adamw_torch_fused",
|
"optimizer": "adamw_torch_fused",
|
||||||
"lr_scheduler": "cosine",
|
"lr_scheduler": "cosine",
|
||||||
"flash_attention": True,
|
"flash_attention": True,
|
||||||
@@ -157,6 +161,9 @@ class TestFSDP1:
|
|||||||
"fsdp_use_orig_params": False,
|
"fsdp_use_orig_params": False,
|
||||||
},
|
},
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
|
"sample_packing": True,
|
||||||
|
"pad_to_sequence_len": True,
|
||||||
"bf16": True,
|
"bf16": True,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
@@ -217,6 +224,9 @@ class TestFSDP1:
|
|||||||
"fsdp_use_orig_params": False,
|
"fsdp_use_orig_params": False,
|
||||||
},
|
},
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
|
"sample_packing": True,
|
||||||
|
"pad_to_sequence_len": True,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
|
|
||||||
@@ -279,7 +289,7 @@ class TestFSDP1:
|
|||||||
"micro_batch_size": 2,
|
"micro_batch_size": 2,
|
||||||
"gradient_accumulation_steps": 1,
|
"gradient_accumulation_steps": 1,
|
||||||
"output_dir": temp_dir,
|
"output_dir": temp_dir,
|
||||||
"learning_rate": 2e-4,
|
"learning_rate": 1e-3,
|
||||||
"optimizer": "adamw_torch_fused",
|
"optimizer": "adamw_torch_fused",
|
||||||
"lr_scheduler": "cosine",
|
"lr_scheduler": "cosine",
|
||||||
"flash_attention": True,
|
"flash_attention": True,
|
||||||
@@ -295,6 +305,9 @@ class TestFSDP1:
|
|||||||
"fsdp_use_orig_params": False,
|
"fsdp_use_orig_params": False,
|
||||||
},
|
},
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
|
"sample_packing": True,
|
||||||
|
"pad_to_sequence_len": True,
|
||||||
"bf16": "auto",
|
"bf16": "auto",
|
||||||
"tf32": True,
|
"tf32": True,
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -32,8 +32,8 @@ def verify_training_success(temp_dir):
|
|||||||
|
|
||||||
check_tensorboard_loss_decreased(
|
check_tensorboard_loss_decreased(
|
||||||
temp_dir + "/runs",
|
temp_dir + "/runs",
|
||||||
initial_window=3,
|
initial_window=10,
|
||||||
final_window=3,
|
final_window=10,
|
||||||
max_initial=5.0,
|
max_initial=5.0,
|
||||||
max_final=4.7,
|
max_final=4.7,
|
||||||
)
|
)
|
||||||
@@ -61,7 +61,8 @@ class TestFSDP2:
|
|||||||
},
|
},
|
||||||
],
|
],
|
||||||
"num_epochs": 1,
|
"num_epochs": 1,
|
||||||
"max_steps": 20,
|
"max_steps": 80,
|
||||||
|
"warmup_steps": 5,
|
||||||
"micro_batch_size": 2,
|
"micro_batch_size": 2,
|
||||||
"gradient_accumulation_steps": 1,
|
"gradient_accumulation_steps": 1,
|
||||||
"output_dir": temp_dir,
|
"output_dir": temp_dir,
|
||||||
@@ -79,6 +80,9 @@ class TestFSDP2:
|
|||||||
"reshard_after_forward": True,
|
"reshard_after_forward": True,
|
||||||
},
|
},
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
|
"sample_packing": True,
|
||||||
|
"pad_to_sequence_len": True,
|
||||||
"bf16": True,
|
"bf16": True,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
@@ -121,14 +125,15 @@ class TestFSDP2:
|
|||||||
"adapter": "lora",
|
"adapter": "lora",
|
||||||
"lora_r": 8,
|
"lora_r": 8,
|
||||||
"lora_alpha": 16,
|
"lora_alpha": 16,
|
||||||
"lora_dropout": 0.05,
|
"lora_dropout": 0.0,
|
||||||
"lora_target_linear": True,
|
"lora_target_linear": True,
|
||||||
"num_epochs": 1,
|
"num_epochs": 1,
|
||||||
"max_steps": 20,
|
"max_steps": 80,
|
||||||
|
"warmup_steps": 5,
|
||||||
"micro_batch_size": 2,
|
"micro_batch_size": 2,
|
||||||
"gradient_accumulation_steps": 1,
|
"gradient_accumulation_steps": 1,
|
||||||
"output_dir": temp_dir,
|
"output_dir": temp_dir,
|
||||||
"learning_rate": 2e-4,
|
"learning_rate": 1e-3,
|
||||||
"optimizer": "adamw_torch_fused",
|
"optimizer": "adamw_torch_fused",
|
||||||
"lr_scheduler": "cosine",
|
"lr_scheduler": "cosine",
|
||||||
"flash_attention": True,
|
"flash_attention": True,
|
||||||
@@ -142,6 +147,9 @@ class TestFSDP2:
|
|||||||
"reshard_after_forward": True,
|
"reshard_after_forward": True,
|
||||||
},
|
},
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
|
"sample_packing": True,
|
||||||
|
"pad_to_sequence_len": True,
|
||||||
"bf16": True,
|
"bf16": True,
|
||||||
# explicitly disable LORA kernels, as they may be auto-enabled
|
# explicitly disable LORA kernels, as they may be auto-enabled
|
||||||
"lora_mlp_kernel": False,
|
"lora_mlp_kernel": False,
|
||||||
@@ -188,11 +196,12 @@ class TestFSDP2:
|
|||||||
"lora_alpha": 16,
|
"lora_alpha": 16,
|
||||||
"lora_target_linear": True,
|
"lora_target_linear": True,
|
||||||
"num_epochs": 1,
|
"num_epochs": 1,
|
||||||
"max_steps": 20,
|
"max_steps": 80,
|
||||||
|
"warmup_steps": 5,
|
||||||
"micro_batch_size": 2,
|
"micro_batch_size": 2,
|
||||||
"gradient_accumulation_steps": 1,
|
"gradient_accumulation_steps": 1,
|
||||||
"output_dir": temp_dir,
|
"output_dir": temp_dir,
|
||||||
"learning_rate": 2e-4,
|
"learning_rate": 1e-3,
|
||||||
"optimizer": "adamw_torch_fused",
|
"optimizer": "adamw_torch_fused",
|
||||||
"lr_scheduler": "cosine",
|
"lr_scheduler": "cosine",
|
||||||
"flash_attention": True,
|
"flash_attention": True,
|
||||||
@@ -206,6 +215,9 @@ class TestFSDP2:
|
|||||||
"reshard_after_forward": True,
|
"reshard_after_forward": True,
|
||||||
},
|
},
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
|
"sample_packing": True,
|
||||||
|
"pad_to_sequence_len": True,
|
||||||
"bf16": True,
|
"bf16": True,
|
||||||
"lora_mlp_kernel": True,
|
"lora_mlp_kernel": True,
|
||||||
"lora_qkv_kernel": True,
|
"lora_qkv_kernel": True,
|
||||||
@@ -250,14 +262,15 @@ class TestFSDP2:
|
|||||||
"adapter": "qlora",
|
"adapter": "qlora",
|
||||||
"lora_r": 8,
|
"lora_r": 8,
|
||||||
"lora_alpha": 16,
|
"lora_alpha": 16,
|
||||||
"lora_dropout": 0.05,
|
"lora_dropout": 0.0,
|
||||||
"lora_target_linear": True,
|
"lora_target_linear": True,
|
||||||
"num_epochs": 1,
|
"num_epochs": 1,
|
||||||
"max_steps": 20,
|
"max_steps": 80,
|
||||||
|
"warmup_steps": 5,
|
||||||
"micro_batch_size": 2,
|
"micro_batch_size": 2,
|
||||||
"gradient_accumulation_steps": 1,
|
"gradient_accumulation_steps": 1,
|
||||||
"output_dir": temp_dir,
|
"output_dir": temp_dir,
|
||||||
"learning_rate": 2e-4,
|
"learning_rate": 1e-3,
|
||||||
"optimizer": "adamw_torch_fused",
|
"optimizer": "adamw_torch_fused",
|
||||||
"lr_scheduler": "cosine",
|
"lr_scheduler": "cosine",
|
||||||
"flash_attention": True,
|
"flash_attention": True,
|
||||||
@@ -271,6 +284,9 @@ class TestFSDP2:
|
|||||||
"reshard_after_forward": True,
|
"reshard_after_forward": True,
|
||||||
},
|
},
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
|
"sample_packing": True,
|
||||||
|
"pad_to_sequence_len": True,
|
||||||
"bf16": True,
|
"bf16": True,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
@@ -314,12 +330,12 @@ class TestFSDP2:
|
|||||||
"lora_alpha": 16,
|
"lora_alpha": 16,
|
||||||
"lora_target_linear": True,
|
"lora_target_linear": True,
|
||||||
"num_epochs": 1,
|
"num_epochs": 1,
|
||||||
"max_steps": 30,
|
"max_steps": 80,
|
||||||
"warmup_steps": 3,
|
"warmup_steps": 5,
|
||||||
"micro_batch_size": 2,
|
"micro_batch_size": 2,
|
||||||
"gradient_accumulation_steps": 1,
|
"gradient_accumulation_steps": 1,
|
||||||
"output_dir": temp_dir,
|
"output_dir": temp_dir,
|
||||||
"learning_rate": 2e-4,
|
"learning_rate": 1e-3,
|
||||||
"optimizer": "adamw_torch_fused",
|
"optimizer": "adamw_torch_fused",
|
||||||
"lr_scheduler": "cosine",
|
"lr_scheduler": "cosine",
|
||||||
"flash_attention": True,
|
"flash_attention": True,
|
||||||
@@ -333,6 +349,9 @@ class TestFSDP2:
|
|||||||
"reshard_after_forward": True,
|
"reshard_after_forward": True,
|
||||||
},
|
},
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
|
"sample_packing": True,
|
||||||
|
"pad_to_sequence_len": True,
|
||||||
"bf16": True,
|
"bf16": True,
|
||||||
"lora_mlp_kernel": True,
|
"lora_mlp_kernel": True,
|
||||||
"lora_qkv_kernel": True,
|
"lora_qkv_kernel": True,
|
||||||
@@ -395,6 +414,9 @@ class TestFSDP2:
|
|||||||
"reshard_after_forward": True,
|
"reshard_after_forward": True,
|
||||||
},
|
},
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
|
"sample_packing": True,
|
||||||
|
"pad_to_sequence_len": True,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
|
|
||||||
@@ -443,7 +465,7 @@ class TestFSDP2:
|
|||||||
"micro_batch_size": 2,
|
"micro_batch_size": 2,
|
||||||
"gradient_accumulation_steps": 1,
|
"gradient_accumulation_steps": 1,
|
||||||
"output_dir": temp_dir,
|
"output_dir": temp_dir,
|
||||||
"learning_rate": 2e-4,
|
"learning_rate": 1e-3,
|
||||||
"optimizer": "adamw_torch_fused",
|
"optimizer": "adamw_torch_fused",
|
||||||
"lr_scheduler": "cosine",
|
"lr_scheduler": "cosine",
|
||||||
"flash_attention": True,
|
"flash_attention": True,
|
||||||
@@ -457,6 +479,9 @@ class TestFSDP2:
|
|||||||
"reshard_after_forward": True,
|
"reshard_after_forward": True,
|
||||||
},
|
},
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
|
"sample_packing": True,
|
||||||
|
"pad_to_sequence_len": True,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
|
|
||||||
|
|||||||
@@ -61,6 +61,7 @@ class TestFalconPatched(unittest.TestCase):
|
|||||||
"bf16": "auto",
|
"bf16": "auto",
|
||||||
"save_first_step": False,
|
"save_first_step": False,
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
cfg = validate_config(cfg)
|
cfg = validate_config(cfg)
|
||||||
@@ -110,6 +111,7 @@ class TestFalconPatched(unittest.TestCase):
|
|||||||
"bf16": "auto",
|
"bf16": "auto",
|
||||||
"save_first_step": False,
|
"save_first_step": False,
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
cfg = validate_config(cfg)
|
cfg = validate_config(cfg)
|
||||||
|
|||||||
@@ -63,6 +63,7 @@ class TestMistral(unittest.TestCase):
|
|||||||
"bf16": "auto",
|
"bf16": "auto",
|
||||||
"save_first_step": False,
|
"save_first_step": False,
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
cfg = validate_config(cfg)
|
cfg = validate_config(cfg)
|
||||||
@@ -113,6 +114,7 @@ class TestMistral(unittest.TestCase):
|
|||||||
"bf16": "auto",
|
"bf16": "auto",
|
||||||
"save_first_step": False,
|
"save_first_step": False,
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
cfg = validate_config(cfg)
|
cfg = validate_config(cfg)
|
||||||
|
|||||||
@@ -33,7 +33,7 @@ class TestMixtral(unittest.TestCase):
|
|||||||
"adapter": "qlora",
|
"adapter": "qlora",
|
||||||
"lora_r": 16,
|
"lora_r": 16,
|
||||||
"lora_alpha": 32,
|
"lora_alpha": 32,
|
||||||
"lora_dropout": 0.1,
|
"lora_dropout": 0.0,
|
||||||
"lora_target_linear": True,
|
"lora_target_linear": True,
|
||||||
"val_set_size": 0.05,
|
"val_set_size": 0.05,
|
||||||
"special_tokens": {},
|
"special_tokens": {},
|
||||||
@@ -47,16 +47,18 @@ class TestMixtral(unittest.TestCase):
|
|||||||
"micro_batch_size": 4,
|
"micro_batch_size": 4,
|
||||||
"gradient_accumulation_steps": 1,
|
"gradient_accumulation_steps": 1,
|
||||||
"output_dir": temp_dir,
|
"output_dir": temp_dir,
|
||||||
"learning_rate": 2e-4,
|
"learning_rate": 3e-3,
|
||||||
"optimizer": "adamw_bnb_8bit",
|
"optimizer": "adamw_bnb_8bit",
|
||||||
"lr_scheduler": "cosine",
|
"lr_scheduler": "cosine",
|
||||||
"max_steps": 50,
|
"max_steps": 80,
|
||||||
|
"warmup_steps": 5,
|
||||||
"logging_steps": 1,
|
"logging_steps": 1,
|
||||||
"save_steps": 50,
|
"save_steps": 80,
|
||||||
"eval_steps": 50,
|
"eval_steps": 80,
|
||||||
"bf16": "auto",
|
"bf16": "auto",
|
||||||
"save_first_step": False,
|
"save_first_step": False,
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
cfg = validate_config(cfg)
|
cfg = validate_config(cfg)
|
||||||
@@ -67,8 +69,8 @@ class TestMixtral(unittest.TestCase):
|
|||||||
check_model_output_exists(temp_dir, cfg)
|
check_model_output_exists(temp_dir, cfg)
|
||||||
check_tensorboard_loss_decreased(
|
check_tensorboard_loss_decreased(
|
||||||
temp_dir + "/runs",
|
temp_dir + "/runs",
|
||||||
initial_window=5,
|
initial_window=10,
|
||||||
final_window=5,
|
final_window=10,
|
||||||
max_initial=6.0,
|
max_initial=6.0,
|
||||||
max_final=4.7,
|
max_final=4.7,
|
||||||
)
|
)
|
||||||
@@ -93,16 +95,18 @@ class TestMixtral(unittest.TestCase):
|
|||||||
"micro_batch_size": 4,
|
"micro_batch_size": 4,
|
||||||
"gradient_accumulation_steps": 1,
|
"gradient_accumulation_steps": 1,
|
||||||
"output_dir": temp_dir,
|
"output_dir": temp_dir,
|
||||||
"learning_rate": 2e-4,
|
"learning_rate": 5e-4,
|
||||||
"optimizer": "adamw_bnb_8bit",
|
"optimizer": "adamw_torch_fused",
|
||||||
"lr_scheduler": "cosine",
|
"lr_scheduler": "cosine",
|
||||||
"max_steps": 50,
|
"max_steps": 80,
|
||||||
|
"warmup_steps": 5,
|
||||||
"logging_steps": 1,
|
"logging_steps": 1,
|
||||||
"save_steps": 50,
|
"save_steps": 80,
|
||||||
"eval_steps": 50,
|
"eval_steps": 80,
|
||||||
"bf16": "auto",
|
"bf16": "auto",
|
||||||
"save_first_step": False,
|
"save_first_step": False,
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
cfg = validate_config(cfg)
|
cfg = validate_config(cfg)
|
||||||
|
|||||||
@@ -60,6 +60,7 @@ class TestPhiMultipack(unittest.TestCase):
|
|||||||
"bf16": "auto",
|
"bf16": "auto",
|
||||||
"save_first_step": False,
|
"save_first_step": False,
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
|
|
||||||
@@ -120,6 +121,7 @@ class TestPhiMultipack(unittest.TestCase):
|
|||||||
"bf16": "auto",
|
"bf16": "auto",
|
||||||
"save_first_step": False,
|
"save_first_step": False,
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
|
"seed": 42,
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
|
|
||||||
|
|||||||
@@ -166,17 +166,19 @@ class TestFalcon(unittest.TestCase):
|
|||||||
},
|
},
|
||||||
],
|
],
|
||||||
"num_epochs": 2,
|
"num_epochs": 2,
|
||||||
|
"sample_packing": True,
|
||||||
|
"pad_to_sequence_len": True,
|
||||||
"micro_batch_size": 4,
|
"micro_batch_size": 4,
|
||||||
"gradient_accumulation_steps": 1,
|
"gradient_accumulation_steps": 1,
|
||||||
"output_dir": temp_dir,
|
"output_dir": temp_dir,
|
||||||
"learning_rate": 2e-4,
|
"learning_rate": 5e-4,
|
||||||
"optimizer": "adamw_torch_fused",
|
"optimizer": "adamw_torch_fused",
|
||||||
"lr_scheduler": "cosine",
|
"lr_scheduler": "cosine",
|
||||||
"max_steps": 50,
|
"max_steps": 80,
|
||||||
"warmup_steps": 5,
|
"warmup_steps": 5,
|
||||||
"logging_steps": 1,
|
"logging_steps": 1,
|
||||||
"save_steps": 50,
|
"save_steps": 80,
|
||||||
"eval_steps": 50,
|
"eval_steps": 80,
|
||||||
"bf16": "auto",
|
"bf16": "auto",
|
||||||
"save_first_step": False,
|
"save_first_step": False,
|
||||||
"use_tensorboard": True,
|
"use_tensorboard": True,
|
||||||
@@ -192,8 +194,8 @@ class TestFalcon(unittest.TestCase):
|
|||||||
check_model_output_exists(temp_dir, cfg)
|
check_model_output_exists(temp_dir, cfg)
|
||||||
check_tensorboard_loss_decreased(
|
check_tensorboard_loss_decreased(
|
||||||
temp_dir + "/runs",
|
temp_dir + "/runs",
|
||||||
initial_window=5,
|
initial_window=10,
|
||||||
final_window=5,
|
final_window=10,
|
||||||
max_initial=5.0,
|
max_initial=5.0,
|
||||||
max_final=4.7,
|
max_final=4.7,
|
||||||
)
|
)
|
||||||
|
|||||||
Reference in New Issue
Block a user