learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1 Score
1.7357	0.3911	500	0.8218	0.3192	0.2798	0.2506	0.2551
1.5848	0.7822	1000	0.7275	0.3937	0.4789	0.4157	0.4387
1.398	1.1729	1500	0.6628	0.4123	0.4885	0.5846	0.5251
1.2999	1.5639	2000	0.6264	0.4295	0.5046	0.6402	0.5626
1.2964	1.9550	2500	0.6101	0.4260	0.4991	0.6553	0.5655
1.2479	2.3457	3000	0.6069	0.4381	0.5082	0.6506	0.5695
1.267	2.7368	3500	0.6069	0.4410	0.5118	0.6489	0.5711

mspoulaei/best-model-v1

best-model-v1