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: 1.0442
- Bleu: 32.1889
- Gen Len: 29.6331
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.346 | 1.0 | 35147 | 1.2394 | 28.3953 | 29.3971 |
| 1.2061 | 2.0 | 70294 | 1.1150 | 30.8643 | 29.6302 |
| 1.0891 | 3.0 | 105441 | 1.0442 | 32.1889 | 29.6331 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0