learning_rate: 5e-05
train_batch_size: 2
eval_batch_size: 8
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: cosine
num_epochs: 2

Training Loss	Epoch	Step	Validation Loss
1.607	0.08	200	3.0681
1.6404	0.16	400	3.0933
1.6482	0.24	600	3.1308
1.6759	0.32	800	3.1196
1.7177	0.4	1000	3.1133
1.7583	0.48	1200	3.1153
1.6939	0.56	1400	3.1267
1.7806	0.64	1600	3.1117
1.7934	0.72	1800	3.0796
1.7935	0.8	2000	3.0968
1.8357	0.88	2200	3.0707
1.9003	0.96	2400	3.0696
1.4838	1.04	2600	3.2396
1.0071	1.12	2800	3.2772
0.9792	1.2	3000	3.3005
1.0558	1.28	3200	3.3140
1.0766	1.3600	3400	3.3135
1.1154	1.44	3600	3.2960
1.2208	1.52	3800	3.2855
1.216	1.6	4000	3.2785
1.1656	1.6800	4200	3.2815
1.187	1.76	4400	3.2797
1.2229	1.8400	4600	3.2808
1.2002	1.92	4800	3.2793
1.2241	2.0	5000	3.2792

sunitapalubanjar/sft_smolLM2_good

sft_smolLM2_good