generated_from_keras_callback

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bedus-creation/t5-small-dataset-i-eng-lim

This model is a fine-tuned version of mBart on an unknown dataset. It achieves the following results on the evaluation set:

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:

Training results

Train Loss Validation Loss Epoch
6.7704 5.9134 0
5.9151 5.3799 1
5.4499 5.1064 2
5.1740 4.9542 3
4.9818 4.8383 4
4.8642 4.7334 5
4.7371 4.6535 6
4.6666 4.5845 7
4.5665 4.5088 8
4.5159 4.4424 9
4.4477 4.4099 10
4.3651 4.3525 11
4.3303 4.3177 12
4.2885 4.2668 13
4.2273 4.2247 14
4.2048 4.1953 15
4.1743 4.1945 16
4.1337 4.1519 17
4.1091 4.1306 18
4.0812 4.1167 19
4.0489 4.1000 20
4.0184 4.0721 21
4.0134 4.0486 22
3.9739 4.0406 23
3.9381 4.0355 24
3.9363 4.0174 25
3.9039 4.0123 26
3.8887 3.9893 27
3.8742 3.9748 28
3.8520 3.9935 29
3.8403 3.9554 30
3.8126 3.9550 31
3.7920 3.9503 32
3.7767 3.9482 33
3.7509 3.9106 34
3.7589 3.9050 35
3.7469 3.8956 36
3.7217 3.8912 37
3.7002 3.8869 38
3.6859 3.8909 39
3.6904 3.8719 40
3.6422 3.8643 41
3.6361 3.8637 42
3.6395 3.8547 43
3.6267 3.8349 44
3.6040 3.8333 45
3.5906 3.8254 46
3.6037 3.8258 47
3.5775 3.8237 48
3.5683 3.8197 49
3.5499 3.8086 50
3.5351 3.7988 51
3.5217 3.8263 52
3.5196 3.7971 53
3.4942 3.7985 54
3.4878 3.7955 55
3.4725 3.7823 56
3.4716 3.7667 57
3.4676 3.7688 58
3.4488 3.7423 59
3.4474 3.7587 60
3.4346 3.7488 61
3.4313 3.7616 62
3.4023 3.7542 63
3.3851 3.7517 64
3.4024 3.7343 65
3.3738 3.7339 66
3.3656 3.7446 67
3.3645 3.7267 68
3.3614 3.7265 69
3.3399 3.7409 70
3.3287 3.7133 71
3.3140 3.7288 72
3.2964 3.7047 73
3.2872 3.7173 74
3.2904 3.7150 75
3.2749 3.7100 76
3.2713 3.7086 77
3.2675 3.7073 78
3.2569 3.6901 79
3.2469 3.6959 80
3.2353 3.7033 81
3.2394 3.7201 82
3.2163 3.7068 83
3.2121 3.6795 84
3.1908 3.7045 85
3.1841 3.7177 86
3.1706 3.7030 87
3.1591 3.6963 88
3.1646 3.6930 89
3.1293 3.7010 90
3.1635 3.6928 91
3.1310 3.6846 92
3.1286 3.6802 93
3.1235 3.6716 94
3.1133 3.6609 95
3.1135 3.6744 96
3.0875 3.6750 97
3.0827 3.6942 98

Framework versions