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
0.2879	1.0	715	0.1869	0.8098
0.1622	2.0	1430	0.1787	0.8409
0.1186	3.0	2145	0.1669	0.8511
0.0875	4.0	2860	0.2000	0.8497
0.0635	5.0	3575	0.2023	0.8570
0.0491	6.0	4290	0.2319	0.8546
0.0361	7.0	5005	0.2509	0.8562
0.0264	8.0	5720	0.2736	0.8587
0.0196	9.0	6435	0.2808	0.8697
0.0136	10.0	7150	0.3078	0.8712
0.0101	11.0	7865	0.2996	0.8744
0.0071	12.0	8580	0.3269	0.8729
0.0046	13.0	9295	0.3375	0.8739
0.0035	14.0	10010	0.3411	0.8762
0.0029	15.0	10725	0.3397	0.8748

firedfrog23/xlm-roberta-base-finetuned-panx-de-fr

xlm-roberta-base-finetuned-panx-de-fr