Upload train.json

train.json

@@ -0,0 +1,47 @@
+{
+    "run_name": "five",
+    "run_id": 20,
+    "model_name_or_path": "/home/zhangc/fyjmy/pretrained/t5-base",
+    "dataset": "spider",
+    "token_preprocessing": true,
+    "source_prefix": "",
+    "schema_serialization_type": "peteshaw",
+    "schema_serialization_randomized": false,
+    "schema_serialization_with_db_id": true,
+    "schema_serialization_with_db_content": true,
+    "normalize_query": true,
+    "target_with_db_id": false,
+    "output_dir": "./train",
+    "cache_dir": "./natsql_base",
+    "do_train": true,
+    "do_eval": true,
+    "fp16": false,
+    "num_train_epochs": 3072,
+    "per_device_train_batch_size": 16,
+    "per_device_eval_batch_size": 16,
+    "gradient_accumulation_steps": 410,
+    "label_smoothing_factor": 0.0,
+    "learning_rate": 1e-4,
+    "adafactor": true,
+    "adam_eps": 1e-6,
+    "lr_scheduler_type": "constant",
+    "warmup_ratio": 0.0,
+    "warmup_steps": 0,
+    "seed": 1,
+    "report_to": ["wandb"],
+    "logging_strategy": "steps",
+    "logging_first_step": true,
+    "logging_steps": 4,
+    "load_best_model_at_end": true,
+    "metric_for_best_model": "exact_match",
+    "greater_is_better": true,
+    "save_total_limit": 128,
+    "save_steps": 50,
+    "evaluation_strategy": "steps",
+    "eval_steps": 50,
+    "predict_with_generate": true,
+    "num_beams": 1,
+    "num_beam_groups": 1,
+    "use_picard": false,
+    "input_max_length":1024
+}