learning_rate: 1e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.01
num_epochs: 10.0

Training Loss	Epoch	Step	Validation Loss	F1
1.1525	0.7463	100	1.2348	0.3353
1.0138	1.4925	200	1.0883	0.4924
0.9136	2.2388	300	1.0727	0.5172
0.8806	2.9851	400	1.1005	0.5205
0.8115	3.7313	500	1.0544	0.5493
0.7483	4.4776	600	1.1093	0.5307
0.696	5.2239	700	1.1064	0.5424
0.7167	5.9701	800	1.1407	0.5293
0.7079	6.7164	900	1.1766	0.5206
0.6593	7.4627	1000	1.2103	0.5257
0.6299	8.2090	1100	1.2031	0.5249
0.675	8.9552	1200	1.2117	0.5198
0.5619	9.7015	1300	1.2219	0.5208

Samsoup/deberta-v3-base-sst5

deberta-v3-base-sst5