Hyperparameters

learning_rate=2e-5
per_device_train_batch_size=14
per_device_eval_batch_size=14
weight_decay=0.01
save_total_limit=3
num_train_epochs=3
predict_with_generate=True
fp16=True

Training Output

global_step=3003,
training_loss=2.5178213735600132,
metrics={'train_runtime': 8703.174,
'train_samples_per_second': 4.83,
'train_steps_per_second': 0.345,
'total_flos': 9.272950245870797e+16,
'train_loss': 2.5178213735600132,
'epoch': 3.0}

Training Results

Epoch Training Loss Validation Loss Rouge1 Rouge2 Rougel Rougelsum Bleu Gen Len
1 2.661100 2.469111 0.451300 0.185200 0.279000 0.278900 0.553300 141.720300
2 2.434100 2.403647 0.456900 0.192800 0.284500 0.284500 0.556800 141.763100
3 2.313700 2.393932 0.459500 0.194400 0.286300 0.286200 0.559200 141.571600
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Dataset used to train usakha/Prophetnet_GovReport_model