learning_rate: 5e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
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: 15

Training Loss	Epoch	Step	Validation Loss	F1
0.2985	1.0	835	0.2098	0.8050
0.1753	2.0	1670	0.1845	0.8296
0.1267	3.0	2505	0.1926	0.8363
0.0981	4.0	3340	0.2066	0.8438
0.0719	5.0	4175	0.2273	0.8496
0.0564	6.0	5010	0.2322	0.8493
0.0417	7.0	5845	0.2657	0.8570
0.031	8.0	6680	0.2901	0.8598
0.0234	9.0	7515	0.2973	0.8620
0.017	10.0	8350	0.3079	0.8621
0.0136	11.0	9185	0.3179	0.8634
0.0086	12.0	10020	0.3518	0.8646
0.0062	13.0	10855	0.3605	0.8688
0.0041	14.0	11690	0.3606	0.8672
0.0035	15.0	12525	0.3665	0.8684

firedfrog23/xlm-roberta-base-finetuned-panx-all

xlm-roberta-base-finetuned-panx-all