Upload HDLM model with complete HF integration
Browse files- config.json +104 -0
config.json
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{
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"ngpus": 4,
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"type": "aligned",
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"gradient_accumulation_steps": 2,
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"tokenizer": {
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"tokens": 50257,
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"model": "gpt2"
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},
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"training": {
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"batch_size": 128,
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"accum": 2,
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"n_iters": 1250000,
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"snapshot_freq": 10000,
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"log_freq": 500,
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"eval_freq": 10000,
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"snapshot_freq_for_preemption": 3000,
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"snapshot_sampling": true,
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"ema": 0.9999,
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"warmup_iter": -1,
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"loss_type": "hybrid",
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"epsilon": 0.0,
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"lambda": 0.0
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},
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"data": {
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"train": "openwebtext-train",
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"valid": "wikitext103",
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"cache_dir": "/home/toolkit/research-diffcodegen/data",
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"debug": false
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},
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"graph": {
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"type": "absorb",
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"gamma": 1.0,
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"file": "/home/toolkit/research-diffcodegen/data",
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"report_all": false,
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"expanded_sigma": true
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},
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"noise": {
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"type": "loglinear",
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"sigma_min": 0.0001,
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"sigma_max": 2.0,
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"ar_diffusion": false,
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"expanded_sigma": true
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},
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"sampling": {
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"predictor": "analytic",
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"steps_per_level": 1,
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"noise_removal": true,
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"strategy": "direct",
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"strategy_param": 0.9
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},
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"annealing": {
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"type": "none",
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"efficient": false,
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"width": 1024,
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"tau": 1024,
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"eval_tau": 1024,
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"steps_per_level": 1,
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"sampling_method": "sdlm",
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"diffusion_loss_weight": 1.0,
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"ce_loss_weight": 1.0,
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"sampling_eps": 0.0001,
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"attention": {
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"context_type": "block_causal",
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"block_type": "full"
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},
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"match_inference": false
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},
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"eval": {
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"batch_size": 16,
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"perplexity": true,
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"perplexity_batch_size": 8
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},
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"optim": {
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"weight_decay": 0.1,
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"optimizer": "AdamW",
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"lr": 0.0002,
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"beta1": 0.9,
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"beta2": 0.95,
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"eps": 1e-08,
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"warmup": 10000,
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"grad_clip": 1.0,
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"scheduler": "cosine"
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},
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"experiment": {
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"name": "MDLM",
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"wandb_project": "Hybrid-SDLM-ALIGNED"
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},
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"model": {
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"name": "HDLM",
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"type": "ddit",
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"hidden_size": 768,
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"cond_dim": 128,
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"length": 1024,
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"n_blocks": 12,
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"n_heads": 12,
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"dropout": 0.1,
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"scale_by_sigma": false,
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"transformer_sigma_conditioning": false,
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"hybrid_sigma_embedding": false,
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"post_process_logits": false,
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"use_timestep_embedding": false
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},
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"model_type": "epsilon_hybrid"
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}
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