generated_from_keras_callback

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mpham8/opus-mt-en-ROMANCE-finetuned-bam-to-fr-finetuned-bam-to-fr

This model is a fine-tuned version of mpham8/opus-mt-en-ROMANCE-finetuned-bam-to-fr 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 Train Bleu Train Gen Len Epoch
2.4912 2.1490 6.4538 63.9433 0
2.2855 1.9357 8.9654 60.2427 1
2.1392 1.7827 9.9592 67.304 2
2.0250 1.6539 12.8260 72.8733 3
1.9288 1.5578 15.3897 60.79 4
1.8478 1.4682 14.8011 75.0593 5
1.7759 1.3935 16.6727 68.5527 6
1.7119 1.3223 19.7720 64.2227 7
1.6536 1.2601 20.9468 68.9367 8
1.5997 1.2059 20.5827 72.6047 9
1.5509 1.1463 19.0189 63.5927 10
1.5020 1.0996 23.1860 58.4813 11
1.4594 1.0486 26.1471 48.928 12
1.4189 1.0032 29.5029 46.51 13
1.3797 0.9643 28.5808 51.1693 14
1.3424 0.9228 31.3484 44.4947 15
1.3069 0.8842 32.6825 43.118 16
1.2721 0.8469 34.1900 39.7847 17
1.2400 0.8131 37.7316 37.6427 18
1.2089 0.7768 38.1373 39.624 19
1.1777 0.7420 39.2405 38.632 20
1.1491 0.7107 41.4665 39.07 21
1.1201 0.6841 42.0981 37.5293 22
1.0935 0.6517 44.3574 37.2947 23
1.0662 0.6261 44.9906 36.896 24
1.0406 0.5984 44.4437 38.0973 25
1.0155 0.5733 46.5144 38.4787 26
0.9921 0.5473 49.0599 36.1127 27
0.9694 0.5221 48.0559 35.8107 28
0.9451 0.4991 50.8444 36.3347 29
0.9230 0.4764 54.6054 36.1353 30
0.9013 0.4551 55.3687 35.1893 31
0.8796 0.4334 56.5136 35.306 32
0.8584 0.4142 57.7579 34.8267 33
0.8389 0.3952 60.2306 34.3993 34
0.8183 0.3756 61.8027 34.33 35
0.7991 0.3579 63.0070 34.856 36
0.7813 0.3435 64.1917 34.7053 37
0.7627 0.3228 65.5474 34.3607 38
0.7457 0.3107 66.7479 34.4573 39
0.7271 0.2929 68.3215 34.0347 40
0.7106 0.2778 69.6132 34.7493 41
0.6934 0.2646 70.9478 33.9867 42

Framework versions