metadata
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-ru-en-finetuned
results: []
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