learning_rate: 5e-05
train_batch_size: 64
eval_batch_size: 64
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_steps: 500
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Macro F1	Macro Precision	Macro Recall	Macro Support
No log	1.0	86	0.5550	0.1427	0.1109	0.2	None
0.6112	2.0	172	0.4244	0.5106	0.7966	0.4864	None
0.4482	3.0	258	0.3317	0.7370	0.7756	0.7129	None
0.3083	4.0	344	0.3029	0.7749	0.8252	0.7414	None
0.2015	5.0	430	0.2997	0.7893	0.8241	0.7742	None
0.1252	6.0	516	0.2980	0.8110	0.8430	0.7882	None
0.0736	7.0	602	0.3023	0.8148	0.8565	0.7811	None
0.0736	8.0	688	0.3091	0.8279	0.8448	0.8135	None
0.0384	9.0	774	0.3087	0.8313	0.8613	0.8062	None
0.0216	10.0	860	0.3095	0.8317	0.8609	0.8061	None

adith-ds/results

results