learning_rate: 0.0001
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
lr_scheduler_warmup_ratio: 0.06
num_epochs: 1.2
label_smoothing_factor: 0.05

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
0.9769	0.1068	100	0.4569	0.8135	0.7665
0.8868	0.2137	200	0.3733	0.8525	0.7959
0.8317	0.3205	300	0.3601	0.873	0.8254
0.7603	0.4274	400	0.3358	0.8845	0.8321
0.8641	0.5342	500	0.3237	0.8925	0.8481
0.6726	0.6410	600	0.2946	0.908	0.8730
0.6893	0.7479	700	0.2917	0.908	0.8621
0.6251	0.8547	800	0.2781	0.916	0.8855
0.636	0.9615	900	0.2657	0.9275	0.8979
0.499	1.0684	1000	0.2631	0.927	0.8991
0.4897	1.1752	1100	0.2596	0.928	0.9000

Anwaarma/edos_taskA_llama_allyears_lora2

edos_taskA_llama_allyears_lora2