kzllm1_wiki

Model Card for Model ID

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• フルスクラッチで事前学習する練習のために作ったモデル。実用的な意味はいっさいありません。
• dataset: mc4-ja の一部 + wikipedia の一部。filter/dedupe ずみで1.5GBほど。https://note.com/kan_hatakeyama/n/nbea55ed4498d
• train: https://github.com/hatakeyama-llm-team/llm/tree/gcp_1_gpu/codes/2_pretrain
• train framework: megatron-deepspeed
• os: windows11 + wsl2 + docker (cuda1.18)
• hardware: CPU AMD Ryzen 9 7900X, mem 64G, rtx4090 VRAM 24G
• wandb: https://wandb.ai/kzms/kzllm_0/runs/a6427nal?nw=nwuserkzms
• 学習時間300分ぐらい
• GPUは100%利用と出るが電力消費的には６割程度。VRAM使用量は主にglobal_batch_sizeに依存し、4だとぎりぎり。
• train_samples: 3000000　最初デカすぎて cuda OOM error が出たので小さくした。何が変わるか今ひとつわかってない。
• CPUは１割程度。処理が分散されてるかんじはしない。2、3コアぐらい使うけど
• deepspeed の設定で bf16 を true にすると学習失敗する。何か他の学習設定の関係で使えない。fp16 は ok。
• tokenizer は vocab 数65k。かなりでかい。
• wandb summary

wandb: Run summary:
wandb:                      Train/Samples/loss_scale 262144.0
wandb:                              Train/Samples/lr 3e-05
wandb:                      Train/Samples/train_loss 3.8399
wandb:                                     iteration 56470
wandb:                                iteration_time 0.3093
wandb:                      iteration_time_vs_tokens 0.0
wandb:                                loss/iteration 56470
wandb:                                  loss/lm loss 3.8399
wandb:          throughput/approx_params_in_billions 0.37099
wandb:           throughput/elapsed_ms_per_iteration 0.3093
wandb:                          throughput/iteration 56470
wandb:                     throughput/iteration-time 0.3093
wandb:                    throughput/samples_per_sec 9.69947
wandb:        throughput/samples_per_sec_per_replica 9.69947
wandb:                             throughput/tflops 53.94309
wandb:             throughput/tokens_per_gpu_per_sec 19864.51923
wandb: throughput/tokens_per_gpu_per_sec_per_replica 19864.51923
wandb:                     throughput/tokens_per_sec 19864.51923
wandb:         throughput/tokens_per_sec_per_replica 19864.51923

Model Details

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

• Developed by: kzmszk
• Model type: gpt
• Language(s) (NLP): Ja, En
• License: MIT
• Finetuned from model [optional]: None

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• Repository: https://github.com/hatakeyama-llm-team/llm/tree/gcp_1_gpu/codes/2_pretrain
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