learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use 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_steps: 500
training_steps: 10000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
3.0503	0.1123	500	1.3913
1.1839	0.2247	1000	1.1939
1.0958	0.3370	1500	1.1537
1.0801	0.4493	2000	1.1328
1.0594	0.5617	2500	1.1232
1.0647	0.6740	3000	1.1167
1.0342	0.7863	3500	1.1094
1.0445	0.8987	4000	1.1032
1.0301	1.0110	4500	1.1015
1.0363	1.1233	5000	1.0999
1.0189	1.2357	5500	1.0972
1.0208	1.3480	6000	1.0947
1.0301	1.4603	6500	1.0939
1.0225	1.5727	7000	1.0929
1.0236	1.6850	7500	1.0928
1.0169	1.7973	8000	1.0912
1.0197	1.9097	8500	1.0909
1.0317	2.0220	9000	1.0902
1.0072	2.1344	9500	1.0902
1.0213	2.2467	10000	1.0902

SatwikDutta/2026-02-24_22-58-22

2026-02-24_22-58-22