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| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7186 | 0.0281 | 100 | 0.6700 |
| 0.7683 | 0.0562 | 200 | 0.6378 |
| 0.4844 | 0.0842 | 300 | 0.6146 |
| 0.3803 | 0.1123 | 400 | 0.6067 |
| 0.4946 | 0.1404 | 500 | 0.6136 |
| 0.3734 | 0.1685 | 600 | 0.6001 |
| 0.5855 | 0.1966 | 700 | 0.5941 |
| 0.4913 | 0.2247 | 800 | 0.5866 |
| 0.5574 | 0.2527 | 900 | 0.5815 |
| 0.4587 | 0.2808 | 1000 | 0.5788 |
| 0.5672 | 0.3089 | 1100 | 0.5623 |
| 0.5146 | 0.3370 | 1200 | 0.5607 |
| 0.5222 | 0.3651 | 1300 | 0.5461 |
| 0.4087 | 0.3931 | 1400 | 0.5524 |
| 0.4473 | 0.4212 | 1500 | 0.5461 |
| 0.4301 | 0.4493 | 1600 | 0.5413 |
| 0.4627 | 0.4774 | 1700 | 0.5397 |
| 0.4617 | 0.5055 | 1800 | 0.5291 |
| 0.5551 | 0.5336 | 1900 | 0.5290 |
| 0.4792 | 0.5616 | 2000 | 0.5192 |
| 0.5295 | 0.5897 | 2100 | 0.5211 |
| 0.4153 | 0.6178 | 2200 | 0.5207 |
| 0.493 | 0.6459 | 2300 | 0.5155 |
| 0.7251 | 0.6740 | 2400 | 0.5141 |
| 0.3545 | 0.7020 | 2500 | 0.5153 |
| 0.4691 | 0.7301 | 2600 | 0.5110 |
| 0.3731 | 0.7582 | 2700 | 0.5091 |
| 0.4002 | 0.7863 | 2800 | 0.5063 |
| 0.4789 | 0.8144 | 2900 | 0.5041 |
| 0.435 | 0.8425 | 3000 | 0.5022 |
| 0.4143 | 0.8705 | 3100 | 0.5005 |
| 0.3868 | 0.8986 | 3200 | 0.5001 |
| 0.4968 | 0.9267 | 3300 | 0.4996 |
| 0.4871 | 0.9548 | 3400 | 0.4994 |
| 0.3787 | 0.9829 | 3500 | 0.4995 |