sedd-small-uniform / config.json
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{
"data": {
"cache_dir": "data",
"group": true,
"train": "openwebtext",
"train_name": null,
"valid": "wikitext103",
"valid_name": null
},
"eval": {
"batch_size": 512,
"perplexity": true,
"perplexity_batch_size": 32
},
"graph": {
"file": "data",
"report_all": false,
"type": "uniform"
},
"model": {
"cond_dim": 128,
"dropout": 0.1,
"hidden_size": 768,
"length": 1024,
"n_blocks": 12,
"n_heads": 12,
"name": "small",
"scale_by_sigma": false,
"type": "ddit"
},
"ngpus": 8,
"noise": {
"sigma_max": 20,
"sigma_min": 0.0001,
"type": "loglinear"
},
"optim": {
"beta1": 0.9,
"beta2": 0.999,
"eps": 1e-08,
"grad_clip": 1.0,
"lr": 0.0003,
"optimizer": "AdamW",
"warmup": 2500,
"weight_decay": 0
},
"sampling": {
"noise_removal": true,
"predictor": "euler",
"steps": 128
},
"tokens": 50257,
"training": {
"accum": 4,
"batch_size": 512,
"ema": 0.9999,
"eval_freq": 100,
"log_freq": 50,
"n_iters": 400000,
"snapshot_freq": 4000,
"snapshot_freq_for_preemption": 1000,
"snapshot_sampling": true,
"weight": "standard"
},
"wandb_name": "m_small-g_uniform-pretrain"
}