learning_rate: 5e-06
train_batch_size: 8
eval_batch_size: 8
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
num_epochs: 1

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4234	0.0126	500	0.3614	0.8957
0.2949	0.0252	1000	0.2974	0.9101
0.3592	0.0377	1500	0.2913	0.9137
0.3101	0.0503	2000	0.2877	0.9326
0.2923	0.0629	2500	0.2246	0.9290
0.2778	0.0755	3000	0.2472	0.9397
0.2556	0.0881	3500	0.2163	0.9487
0.2986	0.1006	4000	0.2156	0.9478
0.272	0.1132	4500	0.2387	0.9388
0.2363	0.1258	5000	0.4263	0.9326
0.221	0.1384	5500	0.2054	0.9505
0.2478	0.1510	6000	0.2851	0.9451
0.2451	0.1635	6500	0.2730	0.9442
0.1915	0.1761	7000	0.2531	0.9460

EndOfLe/fine_tuned_all_domains_1.5

fine_tuned_all_domains_1.5