lr = 5e-05per_device_batch_size = 8gradient_accumulation_steps = 2weight_decay = 1e-09seed = 42numerical stability denominator constant = 0.01lambda = 0.0001alpha = 2.0beta = 1.0| eval_loss | eval_accuracy | epoch |
|---|---|---|
| 12.577 | 0.916 | 1.0 |
| 14.443 | 0.857 | 2.0 |
| 12.267 | 0.928 | 3.0 |
| 12.056 | 0.934 | 4.0 |
| 12.092 | 0.934 | 5.0 |
| 12.172 | 0.932 | 6.0 |
| 12.208 | 0.930 | 7.0 |
| 12.934 | 0.908 | 8.0 |
| 11.949 | 0.939 | 9.0 |
| 12.090 | 0.935 | 10.0 |
| 12.315 | 0.927 | 11.0 |
| 12.018 | 0.937 | 12.0 |
| 12.001 | 0.938 | 13.0 |
| 12.128 | 0.934 | 14.0 |
| 12.064 | 0.935 | 15.0 |
| 11.960 | 0.938 | 16.0 |
| 12.116 | 0.934 | 17.0 |
| 12.313 | 0.928 | 18.0 |
| 11.999 | 0.938 | 19.0 |
| 11.996 | 0.938 | 20.0 |
| 12.019 | 0.937 | 21.0 |
| 12.002 | 0.938 | 22.0 |
| 12.180 | 0.932 | 23.0 |
| 11.963 | 0.939 | 24.0 |
| 12.045 | 0.936 | 25.0 |
| 11.942 | 0.940 | 26.0 |
| 12.153 | 0.933 | 27.0 |
| 11.840 | 0.943 | 28.0 |
| 11.905 | 0.941 | 29.0 |
| 11.899 | 0.941 | 30.0 |
| 11.854 | 0.942 | 31.0 |
| 11.972 | 0.939 | 32.0 |
| 11.922 | 0.940 | 33.0 |
| 11.922 | 0.940 | 34.0 |
| 11.894 | 0.941 | 35.0 |
| 11.878 | 0.942 | 36.0 |
| 11.853 | 0.942 | 37.0 |
| 11.914 | 0.940 | 38.0 |
| 11.867 | 0.942 | 39.0 |
| 11.862 | 0.942 | 40.0 |
| 11.855 | 0.942 | 41.0 |
| 11.900 | 0.941 | 42.0 |
| 11.828 | 0.943 | 43.0 |
| 11.853 | 0.942 | 44.0 |
| 11.847 | 0.943 | 45.0 |
| 11.867 | 0.942 | 46.0 |
| 11.868 | 0.942 | 47.0 |
| 11.838 | 0.943 | 48.0 |
| 11.832 | 0.943 | 49.0 |