learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
distributed_type: tpu
optimizer: Use OptimizerNames.ADAMW_TORCH_XLA with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Mcc	Roc Auc
0.3887	1.0	735	0.2875	0.8690	0.8458	0.8118	0.8284	0.7229	0.9441
0.2685	2.0	1470	0.2775	0.8749	0.8385	0.8410	0.8398	0.7372	0.9534
0.1384	3.0	2205	0.3958	0.8816	0.8683	0.8205	0.8437	0.7493	0.9546
0.0982	4.0	2940	0.5692	0.8799	0.8670	0.8170	0.8413	0.7456	0.9496
0.0487	5.0	3675	0.7054	0.8758	0.8858	0.7821	0.8307	0.7367	0.9465
0.0427	6.0	4410	0.7538	0.8787	0.8448	0.8437	0.8442	0.7448	0.9487
0.0275	7.0	5145	0.7978	0.8800	0.8571	0.8306	0.8436	0.7466	0.9506

Vandita/EmoCentricSarcBERT27FebRstate1kAvgPadding

EmoCentricSarcBERT27FebRstate1000AvgPadding