Adding eval on start and seed params

pdelfin/train/train.py

@@ -131,7 +131,7 @@ def run_train(config: TrainConfig):
         model = get_peft_model(model=model, peft_config=peft_config)
         log_trainable_parameters(model=model, logger=logger)
 
-    # Do final filtering, and prep for running model forward()
+    random.seed(config.train_data.seed)
 
     # Training sets get all concatenated and shuffled
     train_dataset = (
@@ -193,6 +193,7 @@ def run_train(config: TrainConfig):
             label_names=["labels"],  # fix from https://github.com/huggingface/transformers/issues/22885
             max_grad_norm=config.hparams.clip_grad_norm,
             remove_unused_columns=False,
+            eval_on_start=True,
         )
 
         # Set the collator