This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on the IoanRazvan/ro-romani dataset. It achieves the following results on the evaluation set:

Loss: 0.3277
Bleu: 0.6077

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: 1e-05
train_batch_size: 64
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 6000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
0.5152	5.19	1000	0.4979	0.4753
0.4051	10.39	2000	0.3960	0.5528
0.351	15.58	3000	0.3577	0.5847
0.3222	20.78	4000	0.3394	0.5983
0.3108	25.97	5000	0.3305	0.6056
0.3005	31.17	6000	0.3277	0.6077

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

IoanRazvan/marian_mt_rom_ro

MarianMT Romani-Romanian NMT

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

IoanRazvan/
marian_mt_rom_ro