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eb46505
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Parent(s): d70ebc4
update
Browse files
examples/tutorials/dpo/ultrachat/ds_config/{deepspeed_stage_3_config.json → deepspeed_stage_2_config.json}
RENAMED
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@@ -1,46 +1,35 @@
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{
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"gradient_accumulation_steps": "auto",
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"gradient_clipping": "auto",
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"steps_per_print": 200,
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"train_batch_size": "auto",
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"train_micro_batch_size_per_gpu": "auto",
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"fp16": {
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"enabled":
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"loss_scale": 0,
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"loss_scale_window": 1000,
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"initial_scale_power": 16,
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"hysteresis": 2,
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"min_loss_scale": 1
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"pin_memory": true
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},
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"overlap_comm": true,
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"contiguous_gradients": true,
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"sub_group_size": 1e9,
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"reduce_bucket_size": "auto",
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"stage3_prefetch_bucket_size": "auto",
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"stage3_param_persistence_threshold": "auto",
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"stage3_max_live_parameters": 1e9,
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"stage3_max_reuse_distance": 1e9,
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"stage3_gather_16bit_weights_on_model_save": true
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},
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"scheduler": {
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"type": "WarmupLR",
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@@ -50,9 +39,6 @@
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"warmup_num_steps": "auto"
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},
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"contiguous_memory_optimization": true
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}
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}
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{
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"train_batch_size": "auto",
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"train_micro_batch_size_per_gpu": "auto",
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"gradient_accumulation_steps": "auto",
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"gradient_clipping": 1.0,
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"zero_optimization": {
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"stage": 2,
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"offload_optimizer": {
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"device": "cpu",
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"pin_memory": true
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},
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"contiguous_gradients": true,
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"overlap_comm": true,
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"allgather_bucket_size": 5e8,
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"reduce_bucket_size": 5e8
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},
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"fp16": {
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"enabled": true,
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"loss_scale": 0,
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"loss_scale_window": 1000,
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"initial_scale_power": 16,
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"hysteresis": 2,
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"min_loss_scale": 1
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},
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"optimizer": {
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"type": "AdamW",
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"params": {
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"lr": "auto",
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"betas": "auto",
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"eps": 1e-8,
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"weight_decay": "auto"
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}
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},
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"scheduler": {
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"type": "WarmupLR",
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"warmup_num_steps": "auto"
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}
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},
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"steps_per_print": 100,
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"wall_clock_breakdown": false
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}
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examples/tutorials/dpo/ultrachat/step_2_train_sft_model_deepspeed.py
CHANGED
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@@ -216,7 +216,7 @@ def main():
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sft_config = SFTConfig(
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output_dir=args.output_model_dir,
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dataset_text_field="formated_text",
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deepspeed=None if debug_mode else "./ds_config/
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num_train_epochs=1,
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per_device_train_batch_size=1 if debug_mode else 2,
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gradient_accumulation_steps=1 if debug_mode else 8,
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sft_config = SFTConfig(
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output_dir=args.output_model_dir,
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dataset_text_field="formated_text",
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deepspeed=None if debug_mode else "./ds_config/deepspeed_stage_2_config.json",
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num_train_epochs=1,
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per_device_train_batch_size=1 if debug_mode else 2,
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gradient_accumulation_steps=1 if debug_mode else 8,
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