learning_rate: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
lr_scheduler_warmup_steps: 350
num_epochs: 30

Training Loss	Epoch	Step	Validation Loss	Bleu4
12.4864	1.0	113	12.2093	0.9329
5.5024	2.0	226	5.1222	1.4283
4.8103	3.0	339	4.5379	2.3729
4.4941	4.0	452	4.2987	3.4861
4.2601	5.0	565	4.1685	4.2715
4.0996	6.0	678	4.1062	4.5653
4.0649	7.0	791	4.0509	4.4991
3.9869	8.0	904	4.0288	4.2192
3.8730	9.0	1017	3.9991	4.2306
3.7958	10.0	1130	3.9973	4.1558
3.7842	11.0	1243	3.9754	5.1463
3.7156	12.0	1356	3.9678	4.0594
3.6771	13.0	1469	3.9686	4.5274
3.6874	14.0	1582	3.9671	4.4852
3.6374	15.0	1695	3.9548	4.309
3.5811	16.0	1808	3.9561	4.6602

PuppetLover/image_captioning_model

image_captioning_model