learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
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
training_steps: 240

Training Loss	Epoch	Step	Validation Loss	Precision
0.1861	0.1271	15	0.2213	0.8659
0.1501	0.2542	30	0.2142	0.8840
0.1318	0.3814	45	0.2203	0.8858
0.0817	0.5085	60	0.2223	0.9065
0.0942	0.6356	75	0.2393	0.9073
0.1185	0.7627	90	0.2445	0.8775
0.1045	0.8898	105	0.2338	0.9128
0.0629	1.0169	120	0.2471	0.9108
0.0671	1.1441	135	0.2416	0.9046
0.046	1.2712	150	0.2570	0.8950
0.0603	1.3983	165	0.2781	0.8787
0.049	1.5254	180	0.2670	0.9097
0.0816	1.6525	195	0.2550	0.9066
0.0712	1.7797	210	0.2494	0.9063
0.0796	1.9068	225	0.2468	0.9079
0.0939	2.0339	240	0.2464	0.9070

tjacquot/distilbert-base-uncased-finetuned

distilbert-base-uncased-finetuned