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: 1.0379
- Bleu: 43.3073
- Gen Len: 26.1682
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 |
|---|---|---|---|---|---|
| 0.8428 | 1.0 | 35147 | 1.0405 | 43.2785 | 26.1278 |
| 0.8485 | 2.0 | 70294 | 1.0383 | 43.3787 | 26.1725 |
| 0.8474 | 3.0 | 105441 | 1.0380 | 43.4092 | 26.1561 |
| 0.8373 | 4.0 | 140588 | 1.0379 | 43.3883 | 26.1952 |
| 0.8299 | 5.0 | 175735 | 1.0379 | 43.3073 | 26.1682 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0