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Browse files- config.toml +69 -0
- model.pt +3 -0
config.toml
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seed = 1
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| 2 |
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sampling_seed = 5
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train_dataset_seed = 10
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val_dataset_seed = 42
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normalize_embeddings = true
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mixed_precision = "bf16"
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weight_init = "kaiming"
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dataset = "nq"
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max_seq_length = 64
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unsup_emb = "e5"
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sup_emb = "gte"
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n_embs_per_batch = 1
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finetune_mode = false
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noise_level = 0.0
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style = "res_mlp"
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norm_style = "batch"
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depth = 3
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transform_depth = 4
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d_adapter = 1024
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d_hidden = 1024
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d_transform = 1024
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use_small_output_adapters = false
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use_residual_adapters = true
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gan_style = "least_squares"
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disc_depth = 5
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disc_dim = 1024
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use_residual = true
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bs = 256
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gradient_accumulation_steps = 1
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lr = 2e-5
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no_scheduler = true
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max_grad_norm = 1000.0
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loss_coefficient_reverse_rec = 0.0
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loss_coefficient_rec = 1.0
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loss_coefficient_vsp = 1.0
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loss_coefficient_cc_trans = 10.0
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loss_coefficient_cc_rec = 0.0
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loss_coefficient_cc_vsp = 10.0
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loss_coefficient_r1_penalty = 0.0
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warmup_length = 2000
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patience = 5
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min_delta = 1.0
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min_epochs = 20
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disc_lr = 1e-5
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eps = 6.25e-10
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smooth = 0.9
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loss_coefficient_disc = 1.0
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loss_coefficient_gen = 1.0
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loss_coefficient_latent_gen = 1.0
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loss_coefficient_similarity_gen = 0.0
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val_size = 4096
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val_bs = 1024
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top_k_size = 1024
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top_k_batches = 4
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k = 16
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heatmap_size = 64
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use_wandb = true
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wandb_project = "unsupervised_grid_5"
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wandb_name = "m:bf16,n:1000000,e:100,u:e5,s:gte,s:1"
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load_dir = "./finetuning_unsupervised/n:100000,e:10,s:n_double,d:4,d:4,d:64/"
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save_dir = "./finetuning_unsupervised/{}/"
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force_dump = true
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num_points = 1000000
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epochs = 100
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num_params = 21004800
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num_disc_params = 3943425
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num_sup_disc_params = 3943425
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num_latent_disc_params = 4205569
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num_similarity_disc_params = 3419137
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8e3d14698bb8b2620c706442e4466c7b906df49b28a6e2de481dc1a0a61f565b
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size 84091110
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