|
|
--- |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- bleu |
|
|
model-index: |
|
|
- name: opus-mt-en-ru-finetuned |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# opus-mt-en-ru-finetuned |
|
|
|
|
|
This model is a fine-tuned version of [kazandaev/opus-mt-en-ru-finetuned](https://huggingface.co/kazandaev/opus-mt-en-ru-finetuned) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.7763 |
|
|
- Bleu: 41.0065 |
|
|
- Gen Len: 29.7548 |
|
|
|
|
|
## 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 | |
|
|
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:| |
|
|
| 0.6903 | 1.0 | 35147 | 0.7779 | 40.9223 | 29.7846 | |
|
|
| 0.6999 | 2.0 | 70294 | 0.7776 | 40.8267 | 29.8421 | |
|
|
| 0.7257 | 3.0 | 105441 | 0.7769 | 40.8549 | 29.8765 | |
|
|
| 0.7238 | 4.0 | 140588 | 0.7763 | 41.0225 | 29.7129 | |
|
|
| 0.7313 | 5.0 | 175735 | 0.7763 | 41.0065 | 29.7548 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.16.2 |
|
|
- Pytorch 1.10.0+cu111 |
|
|
- Datasets 1.18.3 |
|
|
- Tokenizers 0.11.0 |
|
|
|
