Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
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: 1.0

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.0935	200	0.2734	0.5675
No log	0.1871	400	0.2632	0.5931
0.3013	0.2806	600	0.2381	0.6531
0.3013	0.3742	800	0.2324	0.6814
0.2601	0.4677	1000	0.2241	0.7087
0.2601	0.5613	1200	0.2163	0.7229
0.2601	0.6548	1400	0.2173	0.7299
0.2511	0.7484	1600	0.2115	0.7343
0.2511	0.8419	1800	0.2073	0.7387
0.2369	0.9355	2000	0.2071	0.7405