Upload wandb-metadata.json

wandb-metadata.json

@@ -0,0 +1,58 @@
+{
+    "os": "Linux-3.10.0-1160.49.1.el7.x86_64-x86_64-with-centos-7.9.2009-Core",
+    "python": "3.6.8",
+    "heartbeatAt": "2022-01-12T22:57:00.144248",
+    "startedAt": "2022-01-12T22:56:56.829285",
+    "docker": null,
+    "gpu": "Tesla V100-SXM2-16GB",
+    "gpu_count": 1,
+    "cpu_count": 8,
+    "cuda": null,
+    "args": [
+        "--data_dir",
+        "../datasets/epi_gold-dz/",
+        "--labels",
+        "../datasets/epi_gold-dz/labels.txt",
+        "--model_name_or_path",
+        "dmis-lab/biobert-large-cased-v1.1",
+        "--lr_scheduler_type",
+        "linear",
+        "--warmup_ratio",
+        "0.06",
+        "--learning_rate",
+        "3e-5",
+        "--output_dir",
+        "./o14",
+        "--log_level",
+        "debug",
+        "--weight_decay",
+        "0.01",
+        "--adam_epsilon",
+        "1e-6",
+        "--max_seq_length",
+        "128",
+        "--num_train_epochs",
+        "4",
+        "--per_device_train_batch_size",
+        "16",
+        "--gradient_accumulation_steps",
+        "1",
+        "--gradient_checkpointing",
+        "True",
+        "--debug",
+        "underflow_overflow",
+        "--save_steps",
+        "1500",
+        "--seed",
+        "42",
+        "--do_train",
+        "--do_eval",
+        "--overwrite_output_dir"
+    ],
+    "state": "running",
+    "program": "run_ner.py",
+    "codePath": "run_ner.py",
+    "host": "ip-10-9-1-9.ec2.internal",
+    "username": "wzkariampuzha",
+    "executable": "/usr/bin/python3"
+}