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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": 768,
+  "dropout": 0.1,
+  "dtype": "bfloat16",
+  "eval_accumulation_steps": 1,
+  "eval_epochs": 1,
+  "gradient_accumulation_steps": 1,
+  "gradient_checkpointing": false,
+  "hidden_dim": 768,
+  "initializer_range": 0.02,
+  "input_size": 1152,
+  "learning_rate": 0.0005,
+  "logging_steps": 10,
+  "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": 12,
+  "n_inner": null,
+  "n_layers": 12,
+  "namedir": "ProteomeLM-S-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
+}

model.safetensors

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optimizer.pt

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rng_state.pth

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scheduler.pt

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training_args.bin

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