--- license: apache-2.0 base_model: bedus-creation/mBart-small-dataset-ii-eng-lim-003 tags: - generated_from_keras_callback model-index: - name: bedus-creation/mBart-small-dataset-ii-eng-lim-003 results: [] --- # bedus-creation/mBart-small-dataset-ii-eng-lim-003 This model is a fine-tuned version of [bedus-creation/mBart-small-dataset-ii-eng-lim-003](https://huggingface.co/bedus-creation/mBart-small-dataset-ii-eng-lim-003) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.1015 - Validation Loss: 0.4146 - Epoch: 149 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 0.2093 | 0.2072 | 0 | | 0.2068 | 0.2056 | 1 | | 0.2062 | 0.2023 | 2 | | 0.2045 | 0.2054 | 3 | | 0.2027 | 0.2188 | 4 | | 0.2019 | 0.2067 | 5 | | 0.1997 | 0.2056 | 6 | | 0.1991 | 0.2074 | 7 | | 0.1978 | 0.2024 | 8 | | 0.1962 | 0.2067 | 9 | | 0.1955 | 0.2074 | 10 | | 0.1945 | 0.2089 | 11 | | 0.1928 | 0.2168 | 12 | | 0.1907 | 0.2201 | 13 | | 0.1900 | 0.2102 | 14 | | 0.1888 | 0.2130 | 15 | | 0.1882 | 0.2211 | 16 | | 0.1870 | 0.2117 | 17 | | 0.1857 | 0.2134 | 18 | | 0.1838 | 0.2147 | 19 | | 0.1824 | 0.2187 | 20 | | 0.1812 | 0.2224 | 21 | | 0.1813 | 0.2249 | 22 | | 0.1798 | 0.2200 | 23 | | 0.1787 | 0.2273 | 24 | | 0.1772 | 0.2263 | 25 | | 0.1780 | 0.2273 | 26 | | 0.1764 | 0.2270 | 27 | | 0.1754 | 0.2245 | 28 | | 0.1738 | 0.2260 | 29 | | 0.1730 | 0.2327 | 30 | | 0.1720 | 0.2300 | 31 | | 0.1702 | 0.2347 | 32 | | 0.1698 | 0.2396 | 33 | | 0.1689 | 0.2340 | 34 | | 0.1693 | 0.2345 | 35 | | 0.1661 | 0.2424 | 36 | | 0.1663 | 0.2388 | 37 | | 0.1658 | 0.2436 | 38 | | 0.1654 | 0.2506 | 39 | | 0.1639 | 0.2406 | 40 | | 0.1635 | 0.2524 | 41 | | 0.1619 | 0.2379 | 42 | | 0.1609 | 0.2449 | 43 | | 0.1602 | 0.2466 | 44 | | 0.1602 | 0.2537 | 45 | | 0.1586 | 0.2457 | 46 | | 0.1576 | 0.2589 | 47 | | 0.1573 | 0.2547 | 48 | | 0.1566 | 0.2532 | 49 | | 0.1546 | 0.2565 | 50 | | 0.1540 | 0.2544 | 51 | | 0.1545 | 0.2637 | 52 | | 0.1515 | 0.2580 | 53 | | 0.1520 | 0.2654 | 54 | | 0.1524 | 0.2650 | 55 | | 0.1513 | 0.2701 | 56 | | 0.1500 | 0.2767 | 57 | | 0.1492 | 0.2646 | 58 | | 0.1483 | 0.2696 | 59 | | 0.1480 | 0.2729 | 60 | | 0.1475 | 0.2709 | 61 | | 0.1458 | 0.2757 | 62 | | 0.1460 | 0.2778 | 63 | | 0.1446 | 0.2775 | 64 | | 0.1440 | 0.2727 | 65 | | 0.1438 | 0.2862 | 66 | | 0.1444 | 0.2719 | 67 | | 0.1423 | 0.2827 | 68 | | 0.1418 | 0.2830 | 69 | | 0.1402 | 0.2787 | 70 | | 0.1404 | 0.2799 | 71 | | 0.1388 | 0.2857 | 72 | | 0.1392 | 0.2889 | 73 | | 0.1398 | 0.2868 | 74 | | 0.1389 | 0.2920 | 75 | | 0.1359 | 0.3010 | 76 | | 0.1369 | 0.2873 | 77 | | 0.1366 | 0.2921 | 78 | | 0.1358 | 0.2895 | 79 | | 0.1343 | 0.3071 | 80 | | 0.1344 | 0.2981 | 81 | | 0.1341 | 0.3033 | 82 | | 0.1328 | 0.3008 | 83 | | 0.1332 | 0.2933 | 84 | | 0.1317 | 0.3155 | 85 | | 0.1310 | 0.3091 | 86 | | 0.1307 | 0.3205 | 87 | | 0.1295 | 0.3142 | 88 | | 0.1295 | 0.3141 | 89 | | 0.1299 | 0.3103 | 90 | | 0.1282 | 0.3209 | 91 | | 0.1284 | 0.3167 | 92 | | 0.1272 | 0.3242 | 93 | | 0.1270 | 0.3159 | 94 | | 0.1245 | 0.3275 | 95 | | 0.1244 | 0.3218 | 96 | | 0.1248 | 0.3270 | 97 | | 0.1241 | 0.3354 | 98 | | 0.1231 | 0.3430 | 99 | | 0.1233 | 0.3318 | 100 | | 0.1222 | 0.3387 | 101 | | 0.1225 | 0.3367 | 102 | | 0.1221 | 0.3501 | 103 | | 0.1214 | 0.3370 | 104 | | 0.1207 | 0.3391 | 105 | | 0.1197 | 0.3436 | 106 | | 0.1193 | 0.3388 | 107 | | 0.1208 | 0.3383 | 108 | | 0.1186 | 0.3526 | 109 | | 0.1177 | 0.3471 | 110 | | 0.1179 | 0.3490 | 111 | | 0.1179 | 0.3498 | 112 | | 0.1177 | 0.3379 | 113 | | 0.1169 | 0.3518 | 114 | | 0.1165 | 0.3590 | 115 | | 0.1161 | 0.3550 | 116 | | 0.1159 | 0.3545 | 117 | | 0.1150 | 0.3562 | 118 | | 0.1123 | 0.3641 | 119 | | 0.1137 | 0.3658 | 120 | | 0.1153 | 0.3613 | 121 | | 0.1130 | 0.3767 | 122 | | 0.1129 | 0.3812 | 123 | | 0.1127 | 0.3696 | 124 | | 0.1118 | 0.3704 | 125 | | 0.1116 | 0.3689 | 126 | | 0.1107 | 0.3776 | 127 | | 0.1103 | 0.3775 | 128 | | 0.1108 | 0.3803 | 129 | | 0.1097 | 0.3877 | 130 | | 0.1093 | 0.3860 | 131 | | 0.1080 | 0.3919 | 132 | | 0.1082 | 0.3886 | 133 | | 0.1091 | 0.3888 | 134 | | 0.1071 | 0.3931 | 135 | | 0.1072 | 0.3925 | 136 | | 0.1069 | 0.3933 | 137 | | 0.1065 | 0.3940 | 138 | | 0.1072 | 0.3919 | 139 | | 0.1059 | 0.3944 | 140 | | 0.1049 | 0.4003 | 141 | | 0.1045 | 0.4060 | 142 | | 0.1040 | 0.4025 | 143 | | 0.1055 | 0.3955 | 144 | | 0.1033 | 0.4048 | 145 | | 0.1033 | 0.4029 | 146 | | 0.1019 | 0.4061 | 147 | | 0.1030 | 0.4104 | 148 | | 0.1015 | 0.4146 | 149 | ### Framework versions - Transformers 4.33.3 - TensorFlow 2.13.0 - Datasets 2.14.5 - Tokenizers 0.13.3