learning_rate: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 0.1
num_epochs: 15

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision General	Recall General	F1 General	Precision Memo	Recall Memo	F1 Memo
0.8016	1.0	147	1.0285	0.5274	0.816	0.4744	0.6	0.3114	0.7222	0.4351
0.5683	2.0	294	0.6889	0.75	0.8025	0.8884	0.8433	0.5185	0.3889	0.4444
0.5543	3.0	441	0.5514	0.7705	0.7891	0.9395	0.8577	0.6389	0.3194	0.4259
0.4472	4.0	588	0.5336	0.8151	0.8132	0.9721	0.8856	0.8286	0.4028	0.5421
0.4579	5.0	735	0.6379	0.75	0.8114	0.8605	0.8352	0.5312	0.4722	0.5
0.5291	6.0	882	0.6045	0.8048	0.8062	0.9674	0.8795	0.7941	0.375	0.5094
0.4397	7.0	1029	0.5941	0.8116	0.8293	0.9488	0.8850	0.7174	0.4583	0.5593
0.3478	8.0	1176	0.6598	0.8151	0.8061	0.9860	0.8870	0.8966	0.3611	0.5149
0.4765	9.0	1323	0.6486	0.8082	0.8069	0.9721	0.8819	0.8182	0.375	0.5143
0.3421	10.0	1470	0.6713	0.8082	0.8	0.9860	0.8833	0.8889	0.3333	0.4848
0.304	11.0	1617	0.6890	0.8048	0.8038	0.9721	0.88	0.8125	0.3611	0.5
0.3041	12.0	1764	0.6821	0.8014	0.8054	0.9628	0.8771	0.7714	0.375	0.5047
0.3565	13.0	1911	0.6882	0.8048	0.8086	0.9628	0.8790	0.7778	0.3889	0.5185
0.3987	14.0	2058	0.6888	0.8014	0.8054	0.9628	0.8771	0.7714	0.375	0.5047
0.338	15.0	2205	0.6909	0.8014	0.8054	0.9628	0.8771	0.7714	0.375	0.5047

ethansandbar/run_gemma-2-2b_20250507_202421

run_gemma-2-2b_20250507_202421