{ "dataset_name": "c4", "max_seq_len": 64, "enc_dec_model": "facebook/bart-base", "train_batch_size": 64, "eval_batch_size": 32, "num_encoder_latents": 32, "num_decoder_latents": 32, "dim_ae": 64, "num_layers": 3, "l2_normalize_latents": true, "output_dir": "saved_latent_models/c4/2024-09-22_02-30-27", "save_dir": "saved_latent_models", "learning_rate": 0.0001, "num_train_steps": 50000, "lr_schedule": "linear", "lr_warmup_steps": 1000, "optimizer": "adamw", "adam_beta1": 0.9, "adam_beta2": 0.999, "adam_weight_decay": 0.01, "eval_every": 10000, "mixed_precision": "no", "wandb_name": "bart-roc-l2norm-test-32-64", "lm_mode": "freeze", "eval": false, "resume_training": false, "resume_dir": null, "num_devices": 1 }