MediBerta / run_metadata.json
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{
"config": {
"med_dataset": "mschonhardt/MedBerta",
"canon_dataset": "mschonhardt/MedBerta",
"dataset_split": "train",
"text_column": null,
"doc_id_column": null,
"order_column": null,
"model_name": "xlm-roberta-large",
"max_seq_length": 512,
"mlm_probability": 0.15,
"attn_implementation": "sdpa",
"min_chunk_tokens": 64,
"val_doc_fraction": 0.01,
"test_doc_fraction": 0.0,
"max_eval_docs_per_source": 400,
"stratify_column": "category",
"split_seed": 13,
"train_corpus": "canon",
"dedup_train": false,
"diagnose_tokenizer": true,
"tokenizer_sample_size": 20000,
"normalize_nfc": false,
"diagnose_only": false,
"learning_rate": 0.0001,
"weight_decay": 0.01,
"adam_beta1": 0.9,
"adam_beta2": 0.98,
"adam_epsilon": 1e-06,
"max_grad_norm": 1.0,
"warmup_ratio": 0.06,
"lr_scheduler_type": "linear",
"num_train_epochs": 10.0,
"max_steps": -1,
"optim": "adamw_torch_fused",
"early_stopping_patience": 5,
"early_stopping_threshold": 0.0001,
"per_device_train_batch_size": 64,
"per_device_eval_batch_size": 64,
"gradient_accumulation_steps": 16,
"gradient_checkpointing": false,
"auto_find_batch_size": true,
"torch_compile": false,
"dataloader_num_workers": 8,
"eval_accumulation_steps": 50,
"eval_steps": 500,
"logging_steps": 50,
"save_steps": 500,
"save_total_limit": 3,
"output_dir": "./MediBerta",
"cache_dir": ".cache_packed",
"seed": 42,
"report_to_wandb": false,
"preprocess_num_proc": 16,
"resume": true,
"dry_run": false
},
"environment": {
"timestamp": "2026-06-21T18:28:11",
"python": "3.11.2",
"platform": "Linux-6.1.0-49-amd64-x86_64-with-glibc2.36",
"torch": "2.12.1+cu130",
"transformers": "5.12.1",
"datasets": "5.0.0",
"cuda_available": true,
"cuda": "13.0",
"gpu_name": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
"gpu_total_memory_gb": 95.0,
"gpu_capability": "12.0",
"bf16_supported": true,
"torch_arch_list": [
"sm_75",
"sm_80",
"sm_86",
"sm_90",
"sm_100",
"sm_120"
],
"gpu_arch_supported_by_torch": true
}
}