my_fine_tuning_opus_mt_en_vi_model

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

• Loss: 0.3240
• Bleu: 36.0564
• Gen Len: 28.405

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.2395	1.0	16665	0.3059	36.5417	28.4965
0.2182	2.0	33330	0.3079	36.2686	28.5296
0.2072	3.0	49995	0.3105	36.4146	28.5099
0.1906	4.0	66660	0.3131	36.3594	28.4397
0.1803	5.0	83325	0.3153	36.2658	28.6052
0.1738	6.0	99990	0.3182	35.9334	28.5311
0.1701	7.0	116655	0.3200	36.1934	28.4358
0.1634	8.0	133320	0.3216	35.9721	28.4358
0.1605	9.0	149985	0.3233	36.2007	28.4618
0.1545	10.0	166650	0.3240	36.0564	28.405

Framework versions

• Transformers 4.37.2
• Pytorch 2.0.1+cu117
• Datasets 2.17.0
• Tokenizers 0.15.2