learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
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: linear
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	490	0.8869	0.7423
1.3297	2.0	980	0.7796	0.7798
0.7265	3.0	1470	0.7592	0.7872
0.5509	4.0	1960	0.8112	0.7949
0.4258	5.0	2450	0.8498	0.7875
0.3307	6.0	2940	0.8326	0.8036
0.2702	7.0	3430	0.8833	0.8066
0.2078	8.0	3920	0.9260	0.8066
0.1571	9.0	4410	0.9800	0.8087
0.1242	10.0	4900	1.0725	0.8043
0.0962	11.0	5390	1.2147	0.7946
0.0857	12.0	5880	1.1705	0.8123
0.0667	13.0	6370	1.2551	0.8041
0.052	14.0	6860	1.2762	0.8184
0.0414	15.0	7350	1.3442	0.8115
0.0313	16.0	7840	1.3510	0.8130
0.0247	17.0	8330	1.3754	0.8133
0.0158	18.0	8820	1.3915	0.8135
0.0162	19.0	9310	1.3975	0.8186
0.0109	20.0	9800	1.3981	0.8169

ShynBui/xlm-roberta-large_product_classifier

xlm-roberta-large_product_classifier