learning_rate: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1	6.0577
No log	2.0	2	4.5061
No log	3.0	3	3.7047
No log	4.0	4	3.4758
No log	5.0	5	3.2895
No log	6.0	6	3.1412
No log	7.0	7	3.0168
No log	8.0	8	2.9220
No log	9.0	9	2.8425
No log	10.0	10	2.7750
No log	11.0	11	2.7173
No log	12.0	12	2.6698
No log	13.0	13	2.6316
No log	14.0	14	2.6005
No log	15.0	15	2.5753
No log	16.0	16	2.5548
No log	17.0	17	2.5386
No log	18.0	18	2.5265
No log	19.0	19	2.5184
No log	20.0	20	2.5143

mendeza/opt-125m-synthetic-finetuned

opt-125m-synthetic-finetuned