Preetham-gali's group workspace
PWV7zu6gsBVbcrVgbMzpqN_1u29y8gl
What makes this group special?
Tags
small-to-med
Notes
Author
State
Crashed
Start time
August 15th, 2021 9:09:56 PM
Runtime
21h 47m 40s
Tracked hours
21h 47m 32s
Run path
eleutherai/distilling/3r4juqqz
OS
Linux-5.8.0-59-generic-x86_64-with-glibc2.29
Python version
3.8.5
Git repository
git clone https://github.com/EleutherAI/gpt-neox
Git state
git checkout -b "small-to-med" 3bca33034d466b01178a53a25901217739430e47
Command
pretrain_gpt2.py --local_rank=0 --num_gpus 4 --deepspeed_config "{\"train_batch_size\": 540, \"train_micro_batch_size_per_gpu\": 3, \"gradient_accumulation_steps\": 45, \"optimizer\": {\"type\": \"Adam\", \"params\": {\"lr\": 0.0003, \"betas\": [0.9, 0.999], \"eps\": 1e-08}}, \"fp16\": {\"enabled\": true, \"loss_scale\": 0, \"loss_scale_window\": 1000, \"hysteresis\": 2, \"min_loss_scale\": 1}, \"gradient_clipping\": 1.0, \"zero_optimization\": {\"stage\": 1, \"allgather_partitions\": true, \"allgather_bucket_size\": 500000000, \"overlap_comm\": true, \"reduce_scatter\": true, \"reduce_bucket_size\": 500000000, \"contiguous_gradients\": true, \"cpu_offload\": false}, \"wall_clock_breakdown\": true}" --megatron_config "{\"num_gpus\": 4, \"train_batch_size\": 540, \"train_micro_batch_size_per_gpu\": 3, \"gradient_accumulation_steps\": 45, \"optimizer\": {\"type\": \"Adam\", \"params\": {\"lr\": 0.0003, \"betas\": [0.9, 0.999], \"eps\": 1e-08}}, \"fp16\": {\"enabled\": true, \"loss_scale\": 0, \"loss_scale_window\": 1000, \"hysteresis\": 2, \"min_loss_scale\": 1}, \"gradient_clipping\": 1.0, \"zero_optimization\": {\"stage\": 1, \"allgather_partitions\": true, \"allgather_bucket_size\": 500000000, \"overlap_comm\": true, \"reduce_scatter\": true, \"reduce_bucket_size\": 500000000, \"contiguous_gradients\": true, \"cpu_offload\": false}, \"wall_clock_breakdown\": true, \"precision\": \"fp16\", \"lr_decay_style\": \"cosine\", \"lr_decay_iters\": 250000, \"optimizer_type\": \"Adam\", \"zero_stage\": 1, \"zero_reduce_scatter\": true, \"zero_contiguous_gradients\": true, \"zero_reduce_bucket_size\": 500000000, \"zero_allgather_bucket_size\": 500000000, \"lr\": 0.0003, \"data_path\": \"/mnt/ssd-1/data/pile/pile_text_document\", \"data_impl\": \"mmap\", \"save\": \"checkpoints/distilling/small-to-small\", \"load\": \"checkpoints/small-to-small\", \"save_interval\": 10000, \"finetune\": true, \"batch_size\": 3, \"train_iters\": 250000, \"eval_iters\": 10, \"keep_last_n_checkpoints\": 4, \"split\": \"949,50,1\", \"vocab_file\": \"/mnt/ssd-1/data/gpt2-vocab.json\", \"merge_file\": \"/mnt/ssd-1/data/gpt2-merges.txt\", \"attention_dropout\": 0.0, \"hidden_dropout\": 0.0, \"weight_decay\": 0.1, \"checkpoint_activations\": true, \"synchronize_each_layer\": true, \"partition_activations\": true, \"gas\": 45, \"clip_grad\": 1.0, \"dynamic_loss_scale\": true, \"do_distillation\": true, \"teacher_model_args\": {\"precision\": null, \"num_layers\": 12, \"hidden_size\": 1024, \"num_attention_heads\": 8, \"seq_length\": 2048, \"max_position_embeddings\": 2048, \"norm\": \"layernorm\", \"layernorm_epsilon\": 1e-05, \"rms_norm_epsilon\": 1e-08, \"scalenorm_epsilon\": 1e-08, \"pos_emb\": \"rotary\", \"rpe_num_buckets\": 32, \"rpe_max_distance\": 128, \"no_weight_tying\": true, \"attention_config\": [\"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\"], \"sparsity_config\": {}, \"num_unique_layers\": null, \"param_sharing_style\": \"grouped\", \"make_vocab_size_divisible_by\": 128, \"apply_residual_connection_post_layernorm\": false, \"activation\": \"gelu\", \"scaled_upper_triang_masked_softmax_fusion\": false, \"scaled_masked_softmax_fusion\": false, \"bias_gelu_fusion\": false, \"bias_dropout_fusion\": false, \"fp16_lm_cross_entropy\": false, \"init_method_std\": 0.02, \"apply_query_key_layer_scaling\": false, \"use_cpu_initialization\": false, \"attention_softmax_in_fp32\": false, \"rotary_pct\": 1.0, \"rotary_emb_base\": 10000, \"init_method\": \"normal\", \"output_layer_init_method\": \"scaled_normal\", \"gmlp_attn_dim\": 64}, \"student_model_args\": {\"precision\": null, \"num_layers\": 24, \"hidden_size\": 1024, \"num_attention_heads\": 8, \"seq_length\": 2048, \"max_position_embeddings\": 2048, \"norm\": \"layernorm\", \"layernorm_epsilon\": 1e-05, \"rms_norm_epsilon\": 1e-08, \"scalenorm_epsilon\": 1e-08, \"pos_emb\": \"rotary\", \"rpe_num_buckets\": 32, \"rpe_max_distance\": 128, \"no_weight_tying\": true, \"attention_config\": [\"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\", \"global\"], \"sparsity_config\": {}, \"num_unique_layers\": null, \"param_sharing_style\": \"grouped\", \"make_vocab_size_divisible_by\": 128, \"apply_residual_connection_post_layernorm\": false, \"activation\": \"gelu\", \"scaled_upper_triang_masked_softmax_fusion\": false, \"scaled_masked_softmax_fusion\": false, \"bias_gelu_fusion\": false, \"bias_dropout_fusion\": false, \"fp16_lm_cross_entropy\": false, \"init_method_std\": 0.02, \"apply_query_key_layer_scaling\": false, \"use_cpu_initialization\": false, \"attention_softmax_in_fp32\": false, \"rotary_pct\": 1.0, \"rotary_emb_base\": 10000, \"init_method\": \"normal\", \"output_layer_init_method\": \"scaled_normal\", \"gmlp_attn_dim\": 64}, \"load_teacher\": \"/mnt/ssd-1/neox_checkpoints/dense_small_checkpoints/global_step250000\", \"alpha_lm\": 1.0, \"alpha_kld\": 1.0, \"pipe_parallel_size\": 1, \"is_pipe_parallel\": true, \"use_wandb\": true, \"wandb_group\": \"PWV7zu6gsBVbcrVgbMzpqN_1u29y8gl\", \"wandb_team\": \"eleutherai\", \"wandb_project\": \"distilling\", \"log_dir\": \"logs\", \"log_interval\": 100, \"user_script\": \"pretrain_gpt2.py\"}"
System Hardware
CPU count | 128 |
GPU count | 4 |
GPU type | NVIDIA A100-SXM4-40GB |
W&B CLI Version
0.10.28
Config
Config parameters are your model's inputs. Learn more
- {} 186 keys▶
- "gelu"
- false
- 1,000
- 1
- 1
- 0
- null
- false
- false
- null
- 0
- false
- 3
- false
- false
- true
- false
- 1
- false
- 1
- false
- "mmap"
- "/mnt/ssd-1/data/pile/pile_text_document"
- false
- null
- true
- true
- false
- false
- "nccl"
- true
- null
- null
- null
- false
- true
- false
- 1,000
- 10
- ""
- null
- null
- null
- true
- null
- {} 5 keys▶
- {} 8 keys▶
- 500,000,000
- true
- 1
46 ... 95▶▶96 ... 145▶▶146 ... 181▶▶
Summary
Summary metrics are your model's outputs. Learn more
- {} 38 keys▶
- 131,426,335,431,495.56
- 14.677386629581452
- 36.79129082228169
- 0.7567405700683594
- 0.14066696166992188
- 426.13887786865234
- 0.8254051208496094
- 77,960.5667591095
- 5.073785781860352
- 14.48345184326172
- 77,921.5681552887
- 77,931.70356750488
- 77,970.12376785278
- 790.1639938354492
- 281.3546657562256
- 45,603.615283966064
- 53.12235281507428
- 0.19171515089996552
- 31.074316689401027
- 0.29203667948124606
- 235.7418537139893
- 0.6930828094482422
- 428.5831451416016
- 0
- 0.9394580721855164
- 0.00029990768606403216
- 3.560772657394409
- 4.500229835510254
- 16,384
- 0
- 0.9222493171691896
- 2.514940932441624
- 3.6047961711883545
- 36.77418745435063
- 4.527045726776123
- 92.48493133635094
- 0
- 1
Artifact Outputs
This run produced these artifacts as outputs. Total: 1. Learn more
Type
Name
Consumer count
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