learning_rate: 1e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW 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: 0.03
num_epochs: 2

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2319	0.1770	10	0.7814	0.5603
0.1672	0.3540	20	0.8783	0.6059
0.2095	0.5310	30	0.7078	0.6327
0.1445	0.7080	40	0.7842	0.6354
0.2071	0.8850	50	0.6209	0.6568
0.0539	1.0531	60	0.7969	0.6193
0.0391	1.2301	70	1.0878	0.6327
0.0172	1.4071	80	1.1465	0.6327
0.0193	1.5841	90	1.1174	0.6408
0.0277	1.7611	100	1.0800	0.6381
0.0184	1.9381	110	1.0740	0.6381

Jennny/llama3_8b_helpsteer_helpful_rm

llama3_8b_helpsteer_helpful_rm