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contemmcm/
7727af3f3786853b391220aecaa0a6fb

generated_from_trainer

facebook/mbart-large-en-ro

finetune

mit

endpoints_compatible

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7727af3f3786853b391220aecaa0a6fb

This model is a fine-tuned version of facebook/mbart-large-en-ro on the Helsinki-NLP/opus_books [en-fi] dataset. It achieves the following results on the evaluation set:

Loss: 3.0913
Data Size: 1.0
Epoch Runtime: 27.9386
Bleu: 3.9022

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	9.6682	0	2.8557	0.3488
No log	1	91	7.2925	0.0078	3.1413	0.3612
No log	2	182	6.1158	0.0156	4.7030	0.3707
No log	3	273	4.8438	0.0312	5.7790	0.5806
No log	4	364	3.9691	0.0625	7.3477	2.3492
No log	5	455	3.3467	0.125	8.9387	2.2029
No log	6	546	2.9605	0.25	11.3004	3.0530
0.3725	7	637	2.7406	0.5	17.0685	3.4269
2.334	8.0	728	2.5761	1.0	29.8779	4.0463
1.8069	9.0	819	2.6045	1.0	29.6700	3.9291
1.3891	10.0	910	2.7456	1.0	26.9886	4.0094
1.0548	11.0	1001	2.9286	1.0	27.6462	3.7637
0.7419	12.0	1092	3.0913	1.0	27.9386	3.9022

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.2.0
Tokenizers 0.22.1

contemmcm/7727af3f3786853b391220aecaa0a6fb

7727af3f3786853b391220aecaa0a6fb

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

contemmcm/
7727af3f3786853b391220aecaa0a6fb