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# Copyright (c) 2024, EleutherAI
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# GPT_2 pretraining setup
{
# parallelism settings ( you will want to change these based on your cluster setup, ideally scheduling pipeline stages
# across the node boundaries )
"pipe_parallel_size": 0,
"model_parallel_size": 1,
# model settings
"num_layers": 2,
"hidden_size": 192,
"num_attention_heads": 6,
"seq_length": 1024,
"max_position_embeddings": 1024,
"norm": "layernorm",
"pos_emb": "rotary",
"no_weight_tying": true,
# these should provide some speedup but takes a while to build, set to true if desired
"scaled_upper_triang_masked_softmax_fusion": false,
"bias_gelu_fusion": false,
"rope_fusion": false,
"layernorm_fusion": false,
# optimizer settings
"optimizer": {
"type": "Adam",
"params": {
"lr": 0.0006,
"betas": [0.9, 0.999],
"eps": 1.0e-8,
}
},
# for all zero_optimization options, see https://www.deepspeed.ai/docs/config-json/#zero-optimizations-for-fp16-training
"zero_optimization": {
"stage": 0,
"allgather_partitions": True,
"allgather_bucket_size": 500000000,
"overlap_comm": True,
"reduce_scatter": True,
"reduce_bucket_size": 500000000,
"contiguous_gradients": True,
},
# batch / data settings
"train_micro_batch_size_per_gpu": 4,
"data_impl": "mmap",
"split": "949,50,1",
# activation checkpointing
"checkpoint_activations": true,
"checkpoint_num_layers": 1,
"partition_activations": true,
"synchronize_each_layer": true,
# regularization
"gradient_clipping": 1.0,
"weight_decay": 0.0,
"hidden_dropout": 0.0,
"attention_dropout": 0.0,
# precision settings
"fp16": {
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"hysteresis": 2,
"min_loss_scale": 1
},
# misc. training settings
"train_iters": 320000,
"lr_decay_iters": 320000,
"distributed_backend": "nccl",
"lr_decay_style": "cosine",
"warmup": 0.01,
"checkpoint_factor": 10000,
"eval_interval": 1000,
"eval_iters": 10,
# logging
"log_interval": 100,
"steps_per_print": 10,
"keep_last_n_checkpoints": 4,
"wall_clock_breakdown": true,
# Suggested data paths when using GPT_NeoX locally
"data_path": "data/enwik8/enwik8_text_document",
# or for weighted datasets:
# "train-data-paths": ["data/enwik8/enwik8_text_document", "data/enwik8/enwik8_text_document"],
# "test-data-paths": ["data/enwik8/enwik8_text_document", "data/enwik8/enwik8_text_document"],
# "valid-data-paths": ["data/enwik8/enwik8_text_document", "data/enwik8/enwik8_text_document"],
# "train-data-weights": [1., 2.],
# "test-data-weights": [2., 1.],
# "valid-data-weights": [0.5, 0.4],
"vocab_file": "data/gpt2-vocab.json",
"merge_file": "data/gpt2-merges.txt",
"save": "test_checkpoint",
"load": "test_checkpoint",
"tensorboard_dir": "test_tensorboard",
"log_dir": "test_logs",
}
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