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: 1.0678
- Bleu: 41.9575
- Gen Len: 26.1221
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: 2e-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 |
|---|---|---|---|---|---|
| 0.9398 | 1.0 | 35147 | 1.1344 | 39.1234 | 26.0997 |
| 0.9278 | 2.0 | 70294 | 1.1184 | 39.6701 | 26.2065 |
| 0.9076 | 3.0 | 105441 | 1.1048 | 39.7062 | 26.0862 |
| 0.8972 | 4.0 | 140588 | 1.0987 | 40.106 | 26.105 |
| 0.8859 | 5.0 | 175735 | 1.0959 | 40.6067 | 26.1026 |
| 0.8788 | 6.0 | 210882 | 1.0849 | 41.1633 | 26.0607 |
| 0.8767 | 7.0 | 246029 | 1.0835 | 41.3413 | 26.0259 |
| 0.8681 | 8.0 | 281176 | 1.0742 | 41.4849 | 26.1068 |
| 0.8615 | 9.0 | 316323 | 1.0714 | 42.0031 | 26.1483 |
| 0.87 | 10.0 | 351470 | 1.0678 | 41.9575 | 26.1221 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0