crammed-bert-legacy / train_budget_hours_24.json
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{
"optim": {
"type": "AdamW",
"lr": 0.001,
"betas": [
0.9,
0.98
],
"eps": 1e-12,
"weight_decay": 0.01,
"amsgrad": false
},
"optim_mod": {
"name": "none"
},
"name": "bert-o3",
"limited_decay_keys": [
"bias",
"LayerNorm.bias",
"LayerNorm.weight"
],
"warmup_steps": 0,
"cooldown_steps": 0,
"steps": 600000,
"scheduler": "budget-triangle2",
"batch_size": 4096,
"batch_size_ramp": 300000,
"gradient_clipping": 0.5,
"pretrain_in_train_mode": false,
"objective": {
"name": "masked-lm",
"mlm_probability": 0.15,
"use_80_20_rule": true,
"disable_mlm": false,
"token_drop": 0.0
},
"reverse_dataset_order": false,
"budget": 24,
"gradinit": {
"enabled": false
}
}