learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 8
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: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	F1 Weighted
0.9259	1.0	1047	0.2613	0.8027
0.4565	2.0	2094	0.2130	0.8427
0.3400	3.0	3141	0.2124	0.8579
0.2721	4.0	4188	0.2109	0.8694
0.2249	5.0	5235	0.2290	0.8845
0.1894	6.0	6282	0.2344	0.8825
0.1568	7.0	7329	0.2507	0.8949
0.1381	8.0	8376	0.2556	0.8937
0.1176	9.0	9423	0.2743	0.8974
0.1108	10.0	10470	0.2693	0.8980

Ludo33/e5_General_2026_V2

e5_General_2026_V2