خط

k = RUN_KNOBS train_out = run_cli([“python”,”scripts/train.py”,”–config”,CFG,”–split_dir”,SPLIT, “–optimizer_model”,OPTIMIZER_MODEL,”–target_model”,TARGET_MODEL,”–out_root”,RUN, *COMMON, “train.train_size=0″, f”train.num_epochs={k[‘num_epochs’]}”, f”train.batch_size={k[‘batch_size’]}”, f”gradient.minibatch_size={k[‘minibatch’]}”, f”gradient.merge_batch_size={k[‘merge_batch’]}”, f”gradient.analyst_workers={k[‘workers’]}”, f”optimizer.learning_rate={k[‘lr’]}”, f”optimizer.lr_scheduler={k[‘lr_sched’]}”, “optimizer.use_slow_update=true”, “optimizer.use_meta_skill=true”, f”env.workers={k[‘workers’]}”, f”env.limit={k[‘limit’]}”],…

fig, ax = plt.subplots(2, 2, figsize=(14, 9)) lang_counts.head(12).iloc[::-1].plot.barh(ax=ax[0, 0], color=”#76b900″) ax[0, 0].set_title(“Top 12 languages (sample)”); ax[0, 0].set_xlabel(“files”) df[“ext”].value_counts().head(12).iloc[::-1].plot.barh(ax=ax[0, 1], color=”#5b8def”)…