metadata
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-ru-en-finetuned
results: []
opus-mt-ru-en-finetuned
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2311
- Bleu: 35.6405
- Gen Len: 26.0366
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: 0.0001
- train_batch_size: 85
- eval_batch_size: 42
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.2 | 1.0 | 20262 | 1.3793 | 32.0937 | 26.0227 |
| 1.1325 | 2.0 | 40524 | 1.2856 | 34.3345 | 26.1998 |
| 1.0781 | 3.0 | 60786 | 1.2311 | 35.6405 | 26.0366 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.2+cu113
- Datasets 1.18.3
- Tokenizers 0.11.0