opus-mt-ru-en-finetuned

This model is a fine-tuned version of kazandaev/opus-mt-ru-en-finetuned on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.0399
• Bleu: 43.5078
• Gen Len: 26.1256

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-06
• train_batch_size: 49
• eval_batch_size: 24
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.7462	1.0	35147	1.0422	43.3884	26.1742
0.7501	2.0	70294	1.0407	43.5296	26.1671
0.7471	3.0	105441	1.0402	43.5133	26.1118
0.7514	4.0	140588	1.0401	43.492	26.1529
0.7565	5.0	175735	1.0399	43.5078	26.1256

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.0+cu111
• Datasets 1.18.3
• Tokenizers 0.11.0