/
train.json
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/
train.json
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{
"run_name": "t5-spider",
"model_name_or_path": "t5-3b",
"dataset": "spider",
"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": true,
"output_dir": "/train",
"cache_dir": "/transformers_cache",
"do_train": true,
"do_eval": true,
"fp16": false,
"num_train_epochs": 3072,
"per_device_train_batch_size": 5,
"per_device_eval_batch_size": 5,
"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": 64,
"evaluation_strategy": "steps",
"eval_steps": 64,
"predict_with_generate": true,
"num_beams": 1,
"num_beam_groups": 1,
"use_picard": false
}