learning_rate: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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_steps: 500
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss
5.226	1.1039	500	2.0588
1.4832	2.2077	1000	0.7003
0.787	3.3116	1500	0.4511
0.6142	4.4155	2000	0.3904
0.4991	5.5193	2500	0.3456
0.4446	6.6232	3000	0.3153
0.4441	7.7271	3500	0.2896
0.3978	8.8309	4000	0.2823
0.3954	9.9348	4500	0.2780

arpansapkota/legal_mt5_small_finetuned

legal_mt5_small_finetuned