learning_rate: 0.001
train_batch_size: 512
eval_batch_size: 512
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
num_epochs: 40

Training Loss	Epoch	Step	Validation Loss
2.9289	1.0	6	2.2631
2.0248	2.0	12	1.8559
1.6028	3.0	18	1.7034
1.2773	4.0	24	1.6626
1.0862	5.0	30	1.6454
0.9687	6.0	36	1.8670
0.8858	7.0	42	1.8190
0.7782	8.0	48	2.0888
0.7379	9.0	54	2.1530
0.7093	10.0	60	2.1941
0.6654	11.0	66	2.0807
0.6296	12.0	72	2.1993
0.5963	13.0	78	2.2719
0.5661	14.0	84	2.2821
0.5392	15.0	90	2.2940
0.5209	16.0	96	2.3435
0.4862	17.0	102	2.3659
0.4886	18.0	108	2.4129
0.4668	19.0	114	2.5027
0.4577	20.0	120	2.5144
0.4426	21.0	126	2.4393
0.4198	22.0	132	2.4533
0.4200	23.0	138	2.4996
0.3980	24.0	144	2.4961
0.3715	25.0	150	2.4773
0.3642	26.0	156	2.4326
0.3530	27.0	162	2.4626
0.3300	28.0	168	2.4540
0.3190	29.0	174	2.4593
0.3125	30.0	180	2.4535
0.3008	31.0	186	2.4917
0.2989	32.0	192	2.4753
0.2802	33.0	198	2.4765
0.2677	34.0	204	2.4505
0.2569	35.0	210	2.4462
0.2535	36.0	216	2.4243
0.2586	37.0	222	2.4185
0.2421	38.0	228	2.4217
0.2463	39.0	234	2.4261
0.2430	40.0	240	2.4280

macbeeth/calculator_model_test

calculator_model_test