Upload config.json

config.json

@@ -0,0 +1,56 @@
+{
+    "dataset_reader": {
+        "type": "qasper",
+        "for_training": true,
+        "max_document_length": 15360,
+        "transformer_model_name": "/net/nfs2.corp/s2-research/annel/qasper-led-baseline/qasper-ckpt/qasper_trained_led_base_hf_serialized/"
+    },
+    "model": {
+        "type": "qasper_baseline",
+        "attention_dropout": 0.1,
+        "attention_window_size": 1536,
+        "gradient_checkpointing": true,
+        "transformer_model_name": "/net/nfs2.corp/s2-research/annel/qasper-led-baseline/qasper-ckpt/qasper_trained_led_base_hf_serialized/",
+        "use_evidence_scaffold": true
+    },
+    "train_data_path": "/net/nfs2.corp/s2-research/annel/citation_contexts/data/ours_led_qa_binary/ours_qa_train.json",
+    "validation_data_path": "/net/nfs2.corp/s2-research/annel/citation_contexts/data/ours_led_qa_binary/ours_qa_dev.json",
+    "trainer": {
+        "callbacks": [
+            {
+                "type": "tensorboard"
+            }
+        ],
+        "cuda_device": 0,
+        "enable_default_callbacks": false,
+        "grad_clipping": 1,
+        "learning_rate_scheduler": {
+            "type": "slanted_triangular",
+            "cut_frac": 0.1,
+            "num_epochs": 5,
+            "num_steps_per_epoch": 255
+        },
+        "num_epochs": 5,
+        "num_gradient_accumulation_steps": 16,
+        "optimizer": {
+            "type": "adam",
+            "lr": 3e-05
+        },
+        "patience": 2,
+        "use_amp": true,
+        "validation_metric": "+answer_f1"
+    },
+    "vocabulary": {
+        "type": "empty"
+    },
+    "data_loader": {
+        "batch_size": 1
+    },
+    "pytorch_seed": 15371,
+    "validation_dataset_reader": {
+        "type": "qasper",
+        "for_training": false,
+        "max_document_length": 15360,
+        "transformer_model_name": "/net/nfs2.corp/s2-research/annel/qasper-led-baseline/qasper-ckpt/qasper_trained_led_base_hf_serialized/"
+    }
+}