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| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0182 | 100 | 12.5507 |
| No log | 0.0364 | 200 | 10.2756 |
| No log | 0.0545 | 300 | 7.2642 |
| No log | 0.0727 | 400 | 6.0380 |
| 9.0593 | 0.0909 | 500 | 5.9439 |
| 9.0593 | 0.1091 | 600 | 5.9338 |
| 9.0593 | 0.1273 | 700 | 5.9329 |
| 9.0593 | 0.1455 | 800 | 5.9377 |
| 9.0593 | 0.1636 | 900 | 5.9349 |
| 5.6048 | 0.1818 | 1000 | 5.9219 |
| 5.6048 | 0.2 | 1100 | 5.9068 |
| 5.6048 | 0.2182 | 1200 | 5.8974 |
| 5.6048 | 0.2364 | 1300 | 5.8918 |
| 5.6048 | 0.2545 | 1400 | 5.8890 |
| 5.843 | 0.2727 | 1500 | 5.8831 |
| 5.843 | 0.2909 | 1600 | 5.8800 |
| 5.843 | 0.3091 | 1700 | 5.8753 |
| 5.843 | 0.3273 | 1800 | 5.8738 |
| 5.843 | 0.3455 | 1900 | 5.8665 |
| 5.592 | 0.3636 | 2000 | 5.8623 |
| 5.592 | 0.3818 | 2100 | 5.8590 |
| 5.592 | 0.4 | 2200 | 5.8554 |
| 5.592 | 0.4182 | 2300 | 5.8508 |
| 5.592 | 0.4364 | 2400 | 5.8460 |
| 5.7021 | 0.4545 | 2500 | 5.8434 |
| 5.7021 | 0.4727 | 2600 | 5.8389 |
| 5.7021 | 0.4909 | 2700 | 5.8388 |
| 5.7021 | 0.5091 | 2800 | 5.8332 |
| 5.7021 | 0.5273 | 2900 | 5.8258 |
| 5.8041 | 0.5455 | 3000 | 5.8216 |
| 5.8041 | 0.5636 | 3100 | 5.8221 |
| 5.8041 | 0.5818 | 3200 | 5.8216 |
| 5.8041 | 0.6 | 3300 | 5.8222 |
| 5.8041 | 0.6182 | 3400 | 5.8179 |
| 5.5601 | 0.6364 | 3500 | 5.8160 |
| 5.5601 | 0.6545 | 3600 | 5.8136 |
| 5.5601 | 0.6727 | 3700 | 5.8149 |
| 5.5601 | 0.6909 | 3800 | 5.8119 |
| 5.5601 | 0.7091 | 3900 | 5.8079 |
| 5.8285 | 0.7273 | 4000 | 5.8032 |
| 5.8285 | 0.7455 | 4100 | 5.8005 |
| 5.8285 | 0.7636 | 4200 | 5.8013 |
| 5.8285 | 0.7818 | 4300 | 5.8001 |
| 5.8285 | 0.8 | 4400 | 5.7994 |
| 5.7236 | 0.8182 | 4500 | 5.8000 |
| 5.7236 | 0.8364 | 4600 | 5.7991 |
| 5.7236 | 0.8545 | 4700 | 5.7989 |
| 5.7236 | 0.8727 | 4800 | 5.7988 |
| 5.7236 | 0.8909 | 4900 | 5.7987 |
| 5.5297 | 0.9091 | 5000 | 5.7969 |
| 5.5297 | 0.9273 | 5100 | 5.7967 |
| 5.5297 | 0.9455 | 5200 | 5.7968 |
| 5.5297 | 0.9636 | 5300 | 5.7957 |
| 5.5297 | 0.9818 | 5400 | 5.7953 |
| 5.6104 | 1.0 | 5500 | 5.7954 |