learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
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_ratio: 0.1
num_epochs: 25.0

Training Loss	Epoch	Step	Validation Loss
3.4795	1.0	549	3.0471
3.0621	2.0	1098	2.9997
3.0029	3.0	1647	2.9767
2.9472	4.0	2196	2.9579
2.9013	5.0	2745	2.9493
2.8283	6.0	3294	2.9476
2.8005	7.0	3843	2.9485
2.7523	8.0	4392	2.9494
2.7257	9.0	4941	2.9516
2.6927	10.0	5490	2.9594
2.6327	11.0	6039	2.9631
2.6106	12.0	6588	2.9706
2.5743	13.0	7137	2.9760
2.5676	14.0	7686	2.9845
2.5504	15.0	8235	2.9869
2.5242	16.0	8784	2.9978
2.5097	17.0	9333	3.0007
2.4938	18.0	9882	3.0114
2.4908	19.0	10431	3.0178
2.4731	20.0	10980	3.0204
2.4503	21.0	11529	3.0228
2.4441	22.0	12078	3.0254
2.4378	23.0	12627	3.0287
2.4286	24.0	13176	3.0312
2.4216	25.0	13725	3.0336

bestofbothworldsenjoyer/gpt2-expanded-test-distilled

gpt2-expanded-test-distilled