File size: 1,688 Bytes
0222478 886675d 0222478 886675d 0222478 886675d 1e5af0b 886675d 726f655 886675d a9c9b6a 1e5af0b 886675d a9c9b6a 886675d 1e5af0b 726f655 886675d 1e5af0b 886675d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-ru-en-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-ru-en-finetuned
This model is a fine-tuned version of [kazandaev/opus-mt-ru-en-finetuned](https://huggingface.co/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
|