File size: 2,150 Bytes
73de8a1 |
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 |
---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ar-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-ar-en-finetuned_augmented_synthetic_1-ar-to-en
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-ar-en-finetuned_augmented_synthetic_1-ar-to-en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6310
- Bleu: 66.0531
- Gen Len: 62.7622
## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.9624 | 1.0 | 1043 | 0.7904 | 57.9585 | 65.1449 |
| 0.7619 | 2.0 | 2086 | 0.7172 | 61.4081 | 64.038 |
| 0.674 | 3.0 | 3129 | 0.6844 | 63.0849 | 63.1159 |
| 0.6086 | 4.0 | 4172 | 0.6626 | 64.6547 | 62.3736 |
| 0.5705 | 5.0 | 5215 | 0.6523 | 65.1199 | 62.7662 |
| 0.5317 | 6.0 | 6258 | 0.6415 | 65.6392 | 62.7802 |
| 0.4943 | 7.0 | 7301 | 0.6367 | 65.4163 | 62.5654 |
| 0.4828 | 8.0 | 8344 | 0.6340 | 65.4508 | 62.3506 |
| 0.4579 | 9.0 | 9387 | 0.6317 | 65.8711 | 62.6513 |
| 0.4577 | 10.0 | 10430 | 0.6310 | 66.0531 | 62.7622 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|