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| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3451 | 0.0299 | 200 | 0.4959 |
| 0.3057 | 0.0599 | 400 | 0.4804 |
| 0.2954 | 0.0898 | 600 | 0.4790 |
| 0.2619 | 0.1198 | 800 | 0.4820 |
| 0.2838 | 0.1497 | 1000 | 0.4822 |
| 0.2632 | 0.1797 | 1200 | 0.4846 |
| 0.2637 | 0.2096 | 1400 | 0.4863 |
| 0.2301 | 0.2395 | 1600 | 0.4905 |
| 0.2479 | 0.2695 | 1800 | 0.4920 |
| 0.2380 | 0.2994 | 2000 | 0.4946 |
| 0.2504 | 0.3294 | 2200 | 0.4936 |
| 0.2273 | 0.3593 | 2400 | 0.5033 |
| 0.2382 | 0.3892 | 2600 | 0.5026 |
| 0.2491 | 0.4192 | 2800 | 0.5058 |
| 0.2369 | 0.4491 | 3000 | 0.5141 |
| 0.2173 | 0.4791 | 3200 | 0.5111 |
| 0.2254 | 0.5090 | 3400 | 0.5156 |
| 0.2091 | 0.5390 | 3600 | 0.5232 |
| 0.2192 | 0.5689 | 3800 | 0.5277 |
| 0.2280 | 0.5988 | 4000 | 0.5324 |
| 0.2012 | 0.6288 | 4200 | 0.5339 |
| 0.2277 | 0.6587 | 4400 | 0.5407 |
| 0.2314 | 0.6887 | 4600 | 0.5442 |
| 0.2280 | 0.7186 | 4800 | 0.5511 |
| 0.2208 | 0.7485 | 5000 | 0.5498 |
| 0.2399 | 0.7785 | 5200 | 0.5569 |
| 0.2248 | 0.8084 | 5400 | 0.5603 |
| 0.2249 | 0.8384 | 5600 | 0.5616 |
| 0.2243 | 0.8683 | 5800 | 0.5640 |
| 0.2562 | 0.8983 | 6000 | 0.5646 |
| 0.2246 | 0.9282 | 6200 | 0.5638 |
| 0.2333 | 0.9581 | 6400 | 0.5644 |
| 0.2171 | 0.9881 | 6600 | 0.5648 |