End of training
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README.md
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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@@ -47,49 +47,71 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.1027
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.7961 | 0.3 | 50 | 0.7538 |
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| 0.7207 | 0.61 | 100 | 0.3876 |
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| 0.4596 | 0.91 | 150 | 0.2763 |
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| 0.3536 | 1.22 | 200 | 0.2265 |
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| 0.3089 | 1.52 | 250 | 0.1937 |
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| 0.2736 | 1.83 | 300 | 0.1842 |
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| 0.2415 | 2.13 | 350 | 0.1713 |
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| 0.2309 | 2.44 | 400 | 0.1601 |
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| 0.2011 | 2.74 | 450 | 0.1533 |
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| 0.198 | 3.05 | 500 | 0.1464 |
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| 0.1816 | 3.35 | 550 | 0.1418 |
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| 0.1887 | 3.66 | 600 | 0.1354 |
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| 0.1717 | 3.96 | 650 | 0.1295 |
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| 0.1589 | 4.27 | 700 | 0.1320 |
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| 0.1606 | 4.57 | 750 | 0.1230 |
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| 0.1545 | 4.88 | 800 | 0.1255 |
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| 0.1502 | 5.18 | 850 | 0.1247 |
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| 0.1438 | 5.49 | 900 | 0.1251 |
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| 0.1395 | 5.79 | 950 | 0.1222 |
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| 0.1414 | 6.1 | 1000 | 0.1173 |
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| 0.133 | 6.4 | 1050 | 0.1149 |
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| 0.1338 | 6.71 | 1100 | 0.1124 |
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| 0.1361 | 7.01 | 1150 | 0.1148 |
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| 0.1269 | 7.32 | 1200 | 0.1137 |
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| 0.123 | 7.62 | 1250 | 0.1145 |
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| 0.1203 | 7.93 | 1300 | 0.1129 |
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| 0.1194 | 8.23 | 1350 | 0.1081 |
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| 0.1177 | 8.54 | 1400 | 0.1099 |
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| 0.1173 | 8.84 | 1450 | 0.1109 |
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| 0.113 | 9.15 | 1500 | 0.1107 |
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| 0.1122 | 9.45 | 1550 | 0.1068 |
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| 0.11 | 9.76 | 1600 | 0.1072 |
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| 0.1078 | 10.06 | 1650 | 0.1086 |
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| 0.101 | 10.37 | 1700 | 0.1088 |
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| 0.1106 | 10.67 | 1750 | 0.1079 |
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| 0.1094 | 10.98 | 1800 | 0.1109 |
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| 0.1072 | 11.28 | 1850 | 0.1054 |
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| 0.103 | 11.59 | 1900 | 0.1062 |
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| 0.1009 | 11.89 | 1950 | 0.1051 |
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| 0.1005 | 12.2 | 2000 | 0.1049 |
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| 0.0985 | 12.5 | 2050 | 0.1059 |
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| 0.0983 | 12.8 | 2100 | 0.1063 |
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| 0.0953 | 13.11 | 2150 | 0.1062 |
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| 0.0935 | 13.41 | 2200 | 0.1044 |
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| 0.1003 | 13.72 | 2250 | 0.1034 |
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| 0.0935 | 14.02 | 2300 | 0.1049 |
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| 0.0935 | 14.33 | 2350 | 0.1038 |
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| 0.096 | 14.63 | 2400 | 0.1020 |
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| 0.0894 | 14.94 | 2450 | 0.1048 |
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| 0.0931 | 15.24 | 2500 | 0.1034 |
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| 0.0888 | 15.55 | 2550 | 0.1030 |
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| 0.0904 | 15.85 | 2600 | 0.1038 |
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| 0.0885 | 16.16 | 2650 | 0.1046 |
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| 0.088 | 16.46 | 2700 | 0.1041 |
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| 0.0925 | 16.77 | 2750 | 0.1027 |
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| 0.0835 | 17.07 | 2800 | 0.1034 |
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| 0.089 | 17.38 | 2850 | 0.1036 |
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| 0.0844 | 17.68 | 2900 | 0.1043 |
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| 0.0866 | 17.99 | 2950 | 0.1031 |
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| 0.0835 | 18.29 | 3000 | 0.1030 |
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| 0.0826 | 18.6 | 3050 | 0.1028 |
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| 0.0874 | 18.9 | 3100 | 0.1018 |
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| 0.0846 | 19.21 | 3150 | 0.1030 |
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| 0.0852 | 19.51 | 3200 | 0.1026 |
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| 0.0835 | 19.82 | 3250 | 0.1027 |
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### Framework versions
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model.safetensors
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runs/Nov10_17-33-18_christopher-System-Product-Name/events.out.tfevents.1699597998.christopher-System-Product-Name.30388.0
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training_args.bin
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