learning_rate: 3e-05
train_batch_size: 16
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 8

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.1045	1.0	30	1.0340	0.5	0.4409	0.4823	0.4344
0.9191	2.0	60	0.8546	0.5917	0.5848	0.5848	0.5805
0.6511	3.0	90	0.8594	0.6167	0.6104	0.6021	0.5880
0.4276	4.0	120	0.7454	0.6667	0.6760	0.6646	0.6657
0.2656	5.0	150	0.7335	0.7333	0.7304	0.7268	0.7258
0.151	6.0	180	0.8071	0.75	0.7455	0.7458	0.7453
0.0808	7.0	210	0.8805	0.7167	0.7084	0.7104	0.7089
0.0524	8.0	240	0.9054	0.725	0.7225	0.7196	0.7201

tillschwoerer/bert-base-uncased-twitter-sentiment

bert-base-uncased-twitter-sentiment