sedd-medium / config.json
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{
"ngpus": 8,
"tokens": 50257,
"training": {
"batch_size": 512,
"accum": 2,
"n_iters": 1300001,
"snapshot_freq": 50000,
"log_freq": 50,
"eval_freq": 100,
"snapshot_freq_for_preemption": 10000,
"weight": "standard",
"snapshot_sampling": true,
"ema": 0.9999
},
"data": {
"train": "openwebtext",
"valid": "wikitext103",
"cache_dir": "data"
},
"graph": {
"type": "absorb"
},
"noise": {
"type": "loglinear",
"sigma_min": 0.0001,
"sigma_max": 20
},
"sampling": {
"predictor": "euler",
"steps": 128,
"noise_removal": true
},
"eval": {
"batch_size": 512,
"perplexity": true,
"perplexity_batch_size": 32
},
"optim": {
"weight_decay": 0,
"optimizer": "AdamW",
"lr": 0.0003,
"beta1": 0.9,
"beta2": 0.999,
"eps": 1e-08,
"warmup": 2500,
"grad_clip": 1.0
},
"model": {
"name": "medium",
"type": "ddit",
"hidden_size": 1024,
"cond_dim": 128,
"length": 1024,
"n_blocks": 24,
"n_heads": 16,
"scale_by_sigma": true,
"dropout": 0.1
},
"work_dir": "absorb_medium"
}