learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training Loss	Epoch	Step	Validation Loss	Rouge 1	Rouge 2	Rouge L	Avg Len	Bertscore Prec	Bertscore Rec	Bertscore F1
3.7376	0.5848	200	3.4194	7.4287	0.8472	6.9898	9.809	0.8633	0.8536	0.8581
3.4588	1.1696	400	3.3339	7.1926	0.8083	6.7158	9.6285	0.867	0.8546	0.8604
3.3367	1.7544	600	3.2864	8.7272	1.1167	8.0103	11.9792	0.8638	0.8565	0.8598
3.2902	2.3392	800	3.2639	8.5549	1.1047	7.9038	10.4861	0.8693	0.8558	0.8622
3.2053	2.9240	1000	3.2464	8.715	1.0443	8.0952	10.9375	0.8667	0.8558	0.8609
3.139	3.5088	1200	3.2420	9.1545	1.1215	8.4443	12.0035	0.8651	0.8571	0.8608
3.1294	4.0936	1400	3.2318	9.1819	1.0984	8.5163	11.9028	0.8634	0.8554	0.859
3.0969	4.6784	1600	3.2310	9.4633	1.039	8.7585	12.3194	0.8624	0.8561	0.8589

greatakela/flan-t5-base-gen-chat

flan-t5-base-gen-chat