flat ner

args.json

@@ -0,0 +1,51 @@
+{
+    "output_path": "/var/home/nhamad/WojoodNER/output-flat",
+    "train_path": "/var/home/nhamad/WojoodNER/flat/train.txt",
+    "val_path": "/var/home/nhamad/WojoodNER/flat/val.txt",
+    "test_path": "/var/home/nhamad/WojoodNER/flat/test.txt",
+    "bert_model": "aubmindlab/bert-base-arabertv2",
+    "gpus": [
+        0
+    ],
+    "log_interval": 10,
+    "batch_size": 8,
+    "num_workers": 0,
+    "data_config": {
+        "fn": "arabiner.data.datasets.DefaultDataset",
+        "kwargs": {
+            "max_seq_len": 512
+        }
+    },
+    "trainer_config": {
+        "fn": "arabiner.trainers.BertTrainer",
+        "kwargs": {
+            "max_epochs": 50
+        }
+    },
+    "network_config": {
+        "fn": "arabiner.nn.BertSeqTagger",
+        "kwargs": {
+            "dropout": 0.1,
+            "bert_model": "aubmindlab/bert-base-arabertv2",
+            "num_labels": 42
+        }
+    },
+    "optimizer": {
+        "fn": "torch.optim.AdamW",
+        "kwargs": {
+            "lr": 0.0001
+        }
+    },
+    "lr_scheduler": {
+        "fn": "torch.optim.lr_scheduler.ExponentialLR",
+        "kwargs": {
+            "gamma": 1
+        }
+    },
+    "loss": {
+        "fn": "torch.nn.CrossEntropyLoss",
+        "kwargs": {}
+    },
+    "overwrite": false,
+    "seed": 1
+}

checkpoint_3.pt

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+oid sha256:e62f6ccc6df2e5683edf4d1adcf1f01e0621f4d156fd8f8f44f25cf4a84649fc
+size 1618243112

tag_vocab.pkl

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+oid sha256:0152df42d8ffed2a49a9647db1c1644c1aeb8dbcba4c21cb58c27c0c9b85db44
+size 3778