learning_rate: 2e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
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: 2
num_epochs: 5

Training Loss	Epoch	Step	Validation Loss
7.2412	0.0425	50	0.9580
6.933	0.0849	100	0.9482
6.7303	0.1274	150	0.9393
6.6387	0.1699	200	0.9324
6.4075	0.2123	250	0.9272
6.8845	0.2548	300	0.9177
6.3864	0.2973	350	0.9143
6.4283	0.3397	400	0.9066
6.8153	0.3822	450	0.9025
6.8832	0.4247	500	0.8956
6.8344	0.4671	550	0.8911

D-Truong/pali_291311

pali_291311