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

More information needed

More information needed

The following hyperparameters were used during training:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

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