learning_rate: 3e-05
train_batch_size: 8
eval_batch_size: 16
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	Accuracy	Precision	Recall	F1
1.1033	1.0	17	1.0873	0.3214	0.1944	0.3037	0.2081
1.0480	2.0	34	1.0411	0.5714	0.5869	0.5741	0.5653
0.8832	3.0	51	0.9642	0.6071	0.6259	0.6111	0.6056
0.6083	4.0	68	0.8840	0.6071	0.6170	0.6111	0.6107
0.3281	5.0	85	0.9160	0.5714	0.5833	0.5741	0.5774
0.1365	6.0	102	1.0385	0.5357	0.5417	0.5370	0.5382
0.0509	7.0	119	1.1679	0.5714	0.5750	0.5741	0.5733
0.0226	8.0	136	1.3368	0.5357	0.5417	0.5370	0.5382
0.0143	9.0	153	1.4526	0.5357	0.5417	0.5370	0.5382
0.0113	10.0	170	1.5223	0.5357	0.5417	0.5370	0.5382
0.0099	11.0	187	1.5357	0.5357	0.5417	0.5370	0.5382
0.0083	12.0	204	1.5791	0.5357	0.5417	0.5370	0.5382
0.0077	13.0	221	1.5991	0.5357	0.5417	0.5370	0.5382
0.0080	14.0	238	1.6169	0.5357	0.5417	0.5370	0.5382
0.0073	15.0	255	1.6234	0.5357	0.5417	0.5370	0.5382

tatiadr/youtube-comment-mv-sentiment

youtube-comment-mv-sentiment