Hugging Face's logo

datablations
/
lm1-4b2-84b-c4-repetitions

TensorBoard
Model card Files Metrics Community
lm1-4b2-84b-c4-repetitions
File size: 4,306 Bytes 
922f03b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
 
#!/bin/bash
#SBATCH --exclude=nid007571,nid007112,nid006774,nid007502,nid007506,nid007507,nid005145,nid006692,nid007218,nid007123,nid006124,nid006123,nid007496,nid007237,nid006852,nid007206,nid006947,nid007212,nid006977,nid007222,nid005444,nid007219,nid007493,nid007221,nid005300,nid005619,nid006118,nid005203,nid006113,nid006481,nid007077,nid005208,nid005207,nid005879,nid005901
#SBATCH --nodes=32
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=40
#SBATCH --mem=256G
#SBATCH -p standard-g
#SBATCH -t 48:00:00
#SBATCH --gpus-per-node=mi250:8
#SBATCH --exclusive=user
#SBATCH --hint=nomultithread
#SBATCH --account=project_462000119
#SBATCH -o logs/%j.out
#SBATCH -e logs/%j.err

VARIANT=4b284b21bc4

# if run without sbatch, invoke here
if [ -z $SLURM_JOB_ID ]; then
    mkdir -p logs
    sbatch "$0"
    exit
fi

set -euo pipefail

# symlink logs/latest.out and logs/latest.err
ln -f -s $SLURM_JOB_ID.out logs/latest.out
ln -f -s $SLURM_JOB_ID.err logs/latest.err

KILL_SWITCH_PATH=kill-switch-$VARIANT
CHECKPOINT_PATH=checkpoints_$VARIANT
TENSORBOARD_PATH=tensorboard_$VARIANT

# Data
VOCAB_FILE="gpt2/vocab.json"
MERGE_FILE="gpt2/merges.txt"

TRAIN_DATA_PATH=train21b.txt
# "train: 1.0 0:1 /scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_21B_text_document"
VALID_DATA_PATH=val.txt
# "validation: 1.0 0:1 /scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document"

PP_SIZE=1
TP_SIZE=2

MICRO_BATCH_SIZE=2
GRADIENT_ACCUMULATION_STEPS=1
WORLD_SIZE=$((SLURM_GPUS_ON_NODE*SLURM_JOB_NUM_NODES))
GLOBAL_BATCH_SIZE=$((MICRO_BATCH_SIZE*WORLD_SIZE*GRADIENT_ACCUMULATION_STEPS))

# Model parameters
source model_params.sh
MODEL_PARAM=("${PARAM_4516M[@]}")
NHIDDEN=${MODEL_PARAM[0]}
FFN_HIDDEN_SIZE=${MODEL_PARAM[1]}
KV_SIZE=${MODEL_PARAM[2]}
NHEADS=${MODEL_PARAM[3]}
NLAYERS=${MODEL_PARAM[4]}
SEQ_LEN=2048

echo "Model parameters: d_model $NHIDDEN ffw_size $FFN_HIDDEN_SIZE kv_size $KV_SIZE n_heads $NHEADS n_layers $NLAYERS"

SAVE_INTERVAL=10000

# Tokens: 84_000_000_000
# -> Samples: 41_015_625.0
TRAIN_SAMPLES=41_015_625

OPTIMIZER_ARGS=" \
    --optimizer adam \
    --adam-beta1 0.9 \
    --adam-beta2 0.95 \
    --adam-eps 1e-8 \
    --lr 2e-4 \
    --min-lr 2e-5 \
    --lr-decay-style cosine \
    --lr-decay-samples $TRAIN_SAMPLES \
    --lr-warmup-samples 410_156 \
    --clip-grad 1.0 \
    --weight-decay 1e-1 \
    "

GPT_ARGS=" \
    --num-layers $NLAYERS \
    --hidden-size $NHIDDEN \
    --num-attention-heads $NHEADS \
    --kv-channels $KV_SIZE \
    --ffn-hidden-size $FFN_HIDDEN_SIZE \
    --seq-length $SEQ_LEN \
    --max-position-embeddings $SEQ_LEN \
    --micro-batch-size $MICRO_BATCH_SIZE \
    --global-batch-size $GLOBAL_BATCH_SIZE \
    --train-samples $TRAIN_SAMPLES \
    --vocab-file $VOCAB_FILE \
    --merge-file $MERGE_FILE \
    --clip-grad 1.0 \
    --kill-switch-path $KILL_SWITCH_PATH \
    --bf16 \
    $OPTIMIZER_ARGS \
    "

OUTPUT_ARGS=" \
    --log-interval 10 \
    --save-interval $SAVE_INTERVAL \
    --eval-interval 1000 \
    --eval-iters 100 \
    --tensorboard-dir $TENSORBOARD_PATH \
    --tensorboard-queue-size 5 \
    --log-timers-to-tensorboard \
    --log-batch-size-to-tensorboard \
    --log-validation-ppl-to-tensorboard \
    "

ZERO_STAGE=0

mkdir -p ds_configs
DS_CONFIG_PATH="ds_configs/$SLURM_JOB_ID.json"

cat <<EOF > $DS_CONFIG_PATH
{
    "train_micro_batch_size_per_gpu": $MICRO_BATCH_SIZE,
    "train_batch_size": $GLOBAL_BATCH_SIZE,
    "gradient_clipping": 1.0,
    "zero_optimization": {
        "stage": $ZERO_STAGE
    },
    "bf16": {
        "enabled": true
    },
    "steps_per_print": 2000,
    "wall_clock_breakdown": false
}
EOF

DEEPSPEED_ARGS=" \
    --deepspeed \
    --deepspeed_config $DS_CONFIG_PATH \
    --zero-stage $ZERO_STAGE \
    "

CMD=" \
    Megatron-DeepSpeed/pretrain_gpt.py \
    --tensor-model-parallel-size $TP_SIZE \
    --pipeline-model-parallel-size $PP_SIZE \
    $GPT_ARGS \
    $OUTPUT_ARGS \
    --save $CHECKPOINT_PATH \
    --load $CHECKPOINT_PATH \
    --train-weighted-split-paths-path $TRAIN_DATA_PATH \
    --valid-weighted-split-paths-path $VALID_DATA_PATH \
    --data-impl mmap \
     $DEEPSPEED_ARGS \
    "

echo $CMD

echo "START $SLURM_JOBID: $(date)"

# bash launch_srun.sh $CMD
srun --label launch.sh $CMD

echo "END $SLURM_JOBID: $(date)"