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| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.8709 | 1.82 | 10 | 5.7363 |
| 5.6849 | 3.64 | 20 | 5.4321 |
| 5.4501 | 5.45 | 30 | 5.3610 |
| 5.359 | 7.27 | 40 | 5.2833 |
| 5.278 | 9.09 | 50 | 5.1274 |
| 5.1335 | 10.91 | 60 | 5.0075 |
| 5.0548 | 12.73 | 70 | 4.9488 |
| 4.958 | 14.55 | 80 | 4.8213 |
| 4.8511 | 16.36 | 90 | 4.7643 |
| 4.8158 | 18.18 | 100 | 4.7202 |
| 4.7548 | 20.0 | 110 | 4.6591 |
| 4.7269 | 21.82 | 120 | 4.6380 |
| 4.6823 | 23.64 | 130 | 4.6200 |
| 4.6757 | 25.45 | 140 | 4.6081 |
| 4.629 | 27.27 | 150 | 4.6285 |
| 4.6398 | 29.09 | 160 | 4.6024 |
| 4.6111 | 30.91 | 170 | 4.6235 |
| 4.6028 | 32.73 | 180 | 4.5945 |
| 4.577 | 34.55 | 190 | 4.5932 |
| 4.5812 | 36.36 | 200 | 4.5689 |
| 4.5583 | 38.18 | 210 | 4.5713 |
| 4.5567 | 40.0 | 220 | 4.5731 |
| 4.55 | 41.82 | 230 | 4.5619 |
| 4.5338 | 43.64 | 240 | 4.5656 |
| 4.5245 | 45.45 | 250 | 4.5494 |
| 4.5143 | 47.27 | 260 | 4.5578 |
| 4.5339 | 49.09 | 270 | 4.5489 |
| 4.4948 | 50.91 | 280 | 4.5746 |
| 4.5 | 52.73 | 290 | 4.5407 |
| 4.4755 | 54.55 | 300 | 4.5448 |
| 4.4736 | 56.36 | 310 | 4.5311 |
| 4.4584 | 58.18 | 320 | 4.5279 |
| 4.465 | 60.0 | 330 | 4.5339 |
| 4.4511 | 61.82 | 340 | 4.5326 |
| 4.4408 | 63.64 | 350 | 4.5163 |
| 4.4314 | 65.45 | 360 | 4.5193 |
| 4.417 | 67.27 | 370 | 4.5161 |
| 4.424 | 69.09 | 380 | 4.5027 |
| 4.4147 | 70.91 | 390 | 4.5044 |
| 4.3938 | 72.73 | 400 | 4.5012 |
| 4.4001 | 74.55 | 410 | 4.5037 |
| 4.3821 | 76.36 | 420 | 4.5006 |
| 4.383 | 78.18 | 430 | 4.4981 |
| 4.3893 | 80.0 | 440 | 4.4942 |
| 4.3684 | 81.82 | 450 | 4.4927 |
| 4.3788 | 83.64 | 460 | 4.4933 |
| 4.3836 | 85.45 | 470 | 4.4929 |
| 4.3766 | 87.27 | 480 | 4.4917 |
| 4.3871 | 89.09 | 490 | 4.4912 |
| 4.3725 | 90.91 | 500 | 4.4912 |