learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 5000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Bleu
1.4007	0.0476	500	1.2424	0.0056	45.5942
1.1468	0.0952	1000	1.1651	0.0056	46.9449
1.0415	0.1427	1500	1.1203	0.0056	47.6958
1.1744	0.1903	2000	1.0877	0.0056	44.0503
1.1876	0.2379	2500	1.0665	0.0056	48.6443
1.1702	0.2855	3000	1.0510	0.0056	47.1173
1.0369	0.3330	3500	1.0385	0.0056	48.8846
1.1668	0.3806	4000	1.0325	0.0056	49.0365
1.1351	0.4282	4500	1.0279	0.0056	48.8962
1.0436	0.4758	5000	1.0255	0.0056	49.0433

freya1101/lab1_finetuning

lab1_finetuning