learning_rate: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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
lr_scheduler_warmup_ratio: 0.03
num_epochs: 4
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
2.8998	0.3106	100	2.6409
2.6535	0.6211	200	2.4926
2.5251	0.9317	300	2.4158
2.4797	1.2422	400	2.3657
2.4611	1.5528	500	2.3165
2.4078	1.8634	600	2.2876
2.4076	2.1739	700	2.2705
2.3711	2.4845	800	2.2552
2.38	2.7950	900	2.2425
2.3517	3.1056	1000	2.2352
2.3454	3.4161	1100	2.2327
2.3901	3.7267	1200	2.2306

advy/distilgpt2-career-guidance

distilgpt2-career-guidance