File size: 1,699 Bytes
a209dae dec2e55 f2cf313 dec2e55 a209dae |
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 65 66 67 68 69 70 71 72 |
---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: En-Ts
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. -->
# En-Ts
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ts](https://huggingface.co/Helsinki-NLP/opus-mt-en-ts) on the None dataset.
It achieves the following results on the evaluation set:
Before training:
- Loss: 3.17
- Bleu: 14.513
After Training
- Loss: 1.3320
- Bleu: 36.7687
## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.7082 | 1.0 | 5929 | 1.6902 | 32.1311 |
| 1.4606 | 2.0 | 11858 | 1.4996 | 34.1129 |
| 1.3182 | 3.0 | 17787 | 1.4107 | 35.7428 |
| 1.2543 | 4.0 | 23716 | 1.3631 | 36.2009 |
| 1.2116 | 5.0 | 29645 | 1.3389 | 36.5876 |
| 1.1723 | 6.0 | 35574 | 1.3320 | 36.7481 |
### Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
|