learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.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: 0.1
num_epochs: 8

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.339	1.0	442	1.3491	0.4987	0.5533	0.4987	0.4664
1.0008	2.0	884	1.0219	0.6408	0.6668	0.6408	0.6373
0.7673	3.0	1326	0.9572	0.6676	0.6870	0.6676	0.6557
0.5888	4.0	1768	0.8830	0.6890	0.6930	0.6890	0.6889
0.4396	5.0	2210	1.0893	0.6810	0.7064	0.6810	0.6738
0.2987	6.0	2652	1.0561	0.6810	0.6892	0.6810	0.6738
0.2009	7.0	3094	1.1421	0.6836	0.6944	0.6836	0.6769
0.1345	8.0	3536	1.1479	0.7024	0.7037	0.7024	0.6970

kushalballari/distilhubert-tone-classification

distilhubert-tone-classification