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https://github.com/THUDM/CogVideo.git
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caa24bdc36
- Add SFT (Supervised Fine-Tuning) trainers for all model variants: - CogVideoX I2V and T2V - CogVideoX-1.5 I2V and T2V - Add DeepSpeed ZeRO configuration files: - ZeRO-2 with and without CPU offload - ZeRO-3 with and without CPU offload - Add base accelerate config for distributed training - Update trainer.py to support SFT training mode This enables full-parameter fine-tuning with memory-efficient distributed training using DeepSpeed ZeRO optimization.
38 lines
967 B
YAML
38 lines
967 B
YAML
{
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"bf16": {
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"enabled": true
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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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"weight_decay": "auto",
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"torch_adam": true,
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"adam_w_mode": true
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}
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},
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"scheduler": {
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"type": "WarmupDecayLR",
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"params": {
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"warmup_min_lr": "auto",
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"warmup_max_lr": "auto",
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"warmup_num_steps": "auto",
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"total_num_steps": "auto"
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}
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},
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"zero_optimization": {
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"stage": 2,
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"allgather_partitions": true,
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"allgather_bucket_size": 2e8,
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"overlap_comm": true,
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"reduce_scatter": true,
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"reduce_bucket_size": 5e8,
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"contiguous_gradients": true
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},
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"gradient_accumulation_steps": 1,
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"train_micro_batch_size_per_gpu": 1,
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"train_batch_size": "auto",
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"gradient_clipping": "auto",
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"steps_per_print": 2000,
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"wall_clock_breakdown": false
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} |