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contemmcm/
f108a1b2c1c40ccfff0ff9f1bbe49536

generated_from_trainer

facebook/mbart-large-50-one-to-many-mmt

finetune

endpoints_compatible

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f108a1b2c1c40ccfff0ff9f1bbe49536

This model is a fine-tuned version of facebook/mbart-large-50-one-to-many-mmt on the Helsinki-NLP/opus_books [fi-no] dataset. It achieves the following results on the evaluation set:

Loss: 4.3941
Data Size: 1.0
Epoch Runtime: 26.0804
Bleu: 5.8488

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:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Data Size	Epoch Runtime	Bleu
No log	0	0	9.5660	0	2.3212	0.2197
No log	1	85	8.4854	0.0078	3.0738	0.1704
No log	2	170	7.5612	0.0156	3.6157	0.3846
No log	3	255	6.9790	0.0312	4.7630	0.6933
No log	4	340	6.3720	0.0625	6.5844	0.8409
0.4266	5	425	5.7273	0.125	8.4043	1.1656
0.4266	6	510	4.9046	0.25	10.9274	1.3784
1.486	7	595	4.3110	0.5	15.1796	2.9648
3.8665	8.0	680	3.9113	1.0	28.1134	5.0586
3.111	9.0	765	3.7840	1.0	27.1383	5.1805
2.6286	10.0	850	3.7717	1.0	25.5010	6.0196
2.1677	11.0	935	3.8344	1.0	25.7779	6.2014
1.7239	12.0	1020	3.9871	1.0	27.3611	6.6675
1.3949	13.0	1105	4.2133	1.0	26.2326	5.5582
1.1029	14.0	1190	4.3941	1.0	26.0804	5.8488

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.2.0
Tokenizers 0.22.1

contemmcm/f108a1b2c1c40ccfff0ff9f1bbe49536

f108a1b2c1c40ccfff0ff9f1bbe49536

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

contemmcm/
f108a1b2c1c40ccfff0ff9f1bbe49536