lr = 5e-05per_device_batch_size = 16gradient_accumulation_steps = 1weight_decay = 1e-09seed = 42numerical stability denominator constant = 0.01lambda = 0.01alpha = 2.0beta = 2.0| eval_loss | eval_accuracy | epoch |
|---|---|---|
| 7.057 | 0.872 | 1.0 |
| 6.308 | 0.919 | 2.0 |
| 6.182 | 0.927 | 3.0 |
| 6.121 | 0.930 | 4.0 |
| 6.134 | 0.930 | 5.0 |
| 6.113 | 0.931 | 6.0 |
| 6.074 | 0.934 | 7.0 |
| 6.085 | 0.933 | 8.0 |
| 6.101 | 0.932 | 9.0 |
| 6.024 | 0.937 | 10.0 |
| 6.173 | 0.927 | 11.0 |
| 6.043 | 0.936 | 12.0 |
| 6.049 | 0.935 | 13.0 |
| 6.329 | 0.918 | 14.0 |
| 6.098 | 0.932 | 15.0 |
| 6.040 | 0.936 | 16.0 |
| 6.024 | 0.937 | 17.0 |
| 6.115 | 0.931 | 18.0 |
| 6.112 | 0.932 | 19.0 |
| 6.019 | 0.937 | 20.0 |
| 6.019 | 0.937 | 21.0 |
| 5.997 | 0.939 | 22.0 |
| 6.016 | 0.938 | 23.0 |
| 6.026 | 0.937 | 24.0 |
| 5.959 | 0.941 | 25.0 |
| 5.993 | 0.939 | 26.0 |
| 6.022 | 0.937 | 27.0 |
| 6.003 | 0.939 | 28.0 |
| 5.991 | 0.939 | 29.0 |
| 6.105 | 0.932 | 30.0 |
| 5.967 | 0.940 | 31.0 |
| 5.983 | 0.940 | 32.0 |
| 5.997 | 0.939 | 33.0 |
| 6.007 | 0.938 | 34.0 |
| 5.971 | 0.940 | 35.0 |
| 5.988 | 0.939 | 36.0 |
| 5.957 | 0.941 | 37.0 |
| 5.965 | 0.941 | 38.0 |
| 5.957 | 0.941 | 39.0 |
| 5.977 | 0.940 | 40.0 |
| 5.985 | 0.940 | 41.0 |
| 5.967 | 0.940 | 42.0 |
| 5.992 | 0.939 | 43.0 |
| 5.949 | 0.941 | 44.0 |
| 5.961 | 0.941 | 45.0 |
| 5.968 | 0.941 | 46.0 |
| 5.964 | 0.941 | 47.0 |
| 5.956 | 0.941 | 48.0 |
| 5.963 | 0.941 | 49.0 |