metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-ru-finetuned
results: []
opus-mt-en-ru-finetuned
This model is a fine-tuned version of kazandaev/opus-mt-en-ru-finetuned on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7867
- Bleu: 40.0684
- Gen Len: 29.6714
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.7728 | 1.0 | 35147 | 0.8184 | 38.866 | 30.0397 |
| 0.779 | 2.0 | 70294 | 0.8131 | 39.1716 | 29.8013 |
| 0.8029 | 3.0 | 105441 | 0.8097 | 39.0735 | 29.8549 |
| 0.7938 | 4.0 | 140588 | 0.8050 | 39.4177 | 29.709 |
| 0.7944 | 5.0 | 175735 | 0.8002 | 39.5476 | 29.7991 |
| 0.7966 | 6.0 | 210882 | 0.7981 | 39.5658 | 29.808 |
| 0.8016 | 7.0 | 246029 | 0.7932 | 39.8693 | 29.7747 |
| 0.7997 | 8.0 | 281176 | 0.7874 | 40.0442 | 29.6934 |
| 0.8083 | 9.0 | 316323 | 0.7875 | 40.0731 | 29.6948 |
| 0.8248 | 10.0 | 351470 | 0.7867 | 40.0684 | 29.6714 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0