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stablelm-base-alpha-3b-v2-4k-extension.yml
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stablelm-base-alpha-3b-v2-4k-extension.yml
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{
# parallelism settings
"pipe-parallel-size": 1,
"model-parallel-size": 2,
# model settings
"num-layers": 32,
"hidden-size": 2560,
"num-attention-heads": 32,
"seq-length": 4096,
"max-position-embeddings": 4096,
# architecture design
"attention_head_type": "multihead",
"norm": "layernorm",
"pos-emb": "rotary",
"rotary_pct": 0.25,
"rotary_interleaved": false, # GPT-NeoX style
# NOTE: Linear Position Scaling degrades sample quality after 10B tokens - do not use yet.
# "rotary_scaling_factor": 2, # 2048 -> 4096
"mlp_multiple_of": 256,
"mlp_type": "gated",
"activation": "silu",
"no-weight-tying": true,
"gpt_j_residual": true,
"gpt_j_tied": true,
"output_layer_parallelism": "column",
# biases
"use_bias_in_norms": true,
"use_bias_in_attn_linear": false,
"use_bias_in_mlp": false,
# fused ops
"bias-gelu-fusion": false,
"scaled-upper-triang-masked-softmax-fusion": true,
"attention-config": [[["flash"], 32]],
# optimizer settings
"optimizer": {
"type": "Adam",
"params": {
"lr": 2.8e-5,
"betas": [0.9, 0.95],
"eps": 1.0e-6
},
},
"min_lr": 2.8e-6,
"train-iters": 50_000,
"lr-decay-iters": 50_000,
"lr-decay-style": "cosine",
"warmup": 0.00,
# for all zero_optimization options, see https://www.deepspeed.ai/docs/config-json/#zero-optimizations-for-fp16-training
"zero_optimization": {
"stage": 1,
"allgather_partitions": true,
"allgather_bucket_size": 1260000000,
"overlap_comm": true,
"reduce_scatter": true,
"reduce_bucket_size": 1260000000,
"contiguous_gradients": true,
"cpu_offload": false,
},
# batch / data settings
"train_micro_batch_size_per_gpu": 4,
"gradient_accumulation_steps": 1,
"data-impl": "mmap",
"eval-interval": 1_000,
"eval-iters": 10,
"eval_batch_size": 8,
"eval_tasks": ["lambada_openai", "piqa"],
# activation checkpointing
"checkpoint-activations": true,
"checkpoint-num-layers": 1,
"partition-activations": true,
"synchronize-each-layer": true,
# regularization
"gradient_clipping": 1.0,
"weight-decay": 0.0001,
"hidden-dropout": 0,
"attention-dropout": 0,
# precision settings
"fp16": {
"fp16": true,
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"initial_scale_power": 12,
"hysteresis": 2,
"min_loss_scale": 1e-10
},
"full_precision_lm_cross_entropy": true,
# misc. training settings
"num-workers": 1,
"distributed-backend": "nccl",
# checkpoint settings
"checkpoint-factor": 2_000,
"save": "",
"load": "",
"s3_path": "",
"iteration": 245_000,
"finetune": true,
"no_checkpoint_arg_validation": true,
"override_lr_scheduler": true,
# data path settings
"train-data-paths": [""],
"train-data-weights": [1.0],
"valid-data-paths": [""],
"valid-data-weights": [1.0],
"test-data-paths": [""],
"test-data-weights": [1.0],
# tokenizer settings
"tokenizer-type": "HFTokenizer",
"vocab-file": "neox-tokenizer-vocab.json",
# log settings
"log-interval": 10,
"steps_per_print": 10,
"wall_clock_breakdown": true,
"use_wandb": true,
"wandb_host": "",
"wandb_team": "",
"wandb_project": "",
"wandb_group": "7B",
"wandb_name": "stablelm-base-alpha-7b-v2-4k-finetune",
# "wandb_id": "",
# "wandb_resume": "must",
# multi-node launcher
"launcher": "slurm",
"deepspeed_slurm": true,
}