metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- news_commentary
metrics:
- bleu
model-index:
- name: opus-mt-ar-en-finetuned-ar-to-en
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: news_commentary
type: news_commentary
args: ar-en
metrics:
- name: Bleu
type: bleu
value: 32.7441
opus-mt-ar-en-finetuned-ar-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on the news_commentary dataset. It achieves the following results on the evaluation set:
- Loss: 8.4400
- Bleu: 32.7441
- Gen Len: 57.02
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-09
- 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 |
|---|---|---|---|---|---|
| No log | 1.0 | 4 | 8.4406 | 32.7441 | 57.02 |
| No log | 2.0 | 8 | 8.4405 | 32.7441 | 57.02 |
| No log | 3.0 | 12 | 8.4403 | 32.7441 | 57.02 |
| No log | 4.0 | 16 | 8.4402 | 32.7441 | 57.02 |
| No log | 5.0 | 20 | 8.4401 | 32.7441 | 57.02 |
| No log | 6.0 | 24 | 8.4400 | 32.7441 | 57.02 |
| No log | 7.0 | 28 | 8.4400 | 32.7441 | 57.02 |
| No log | 8.0 | 32 | 8.4400 | 32.7441 | 57.02 |
| No log | 9.0 | 36 | 8.4400 | 32.7441 | 57.02 |
| No log | 10.0 | 40 | 8.4400 | 32.7441 | 57.02 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1