ProteomeLM-XS / config.json
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{
"activation": "gelu",
"architectures": [
"ProteomeLMForMaskedLM"
],
"attention_dropout": 0.1,
"batch_size": 64,
"beta1": 0.9,
"beta2": 0.999,
"dataloader_num_workers": 8,
"db_path": "/home/malbrank/training/",
"dim": 128,
"dropout": 0.1,
"dtype": "bfloat16",
"eval_accumulation_steps": 1,
"eval_epochs": 1,
"gradient_accumulation_steps": 1,
"gradient_checkpointing": false,
"hidden_dim": 128,
"initializer_range": 0.02,
"input_size": 1152,
"learning_rate": 0.0003,
"logging_steps": 10,
"loss_choice": "polar",
"loss_type": "mse",
"mask_fraction": 0.5,
"max_grad_norm": 1.0,
"max_position_embeddings": 512,
"max_steps": 1000000,
"min_taxid_size": 200,
"model_type": "distilbert",
"n_heads": 8,
"n_inner": null,
"n_layers": 6,
"namedir": "ProteomeLM-XXS-Kuma",
"num_epochs": 2000,
"output_dir": "/home/malbrank/ProteomeLM/output/",
"pad_token_id": 0,
"qa_dropout": 0.1,
"save_epochs": 15,
"scheduler": "cosine",
"seq_classif_dropout": 0.2,
"sinusoidal_pos_embds": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.51.1",
"use_cache": true,
"use_one_gpu": "0",
"vocab_size": 30522,
"wandb_project": "proteomelm",
"warmup_steps": 500,
"weight_decay": 0.01
}