Downloads · 30 days
4
17% of all-time downloads
ar-en-model
BoghdadyJR/ar-en-model
ar-en-model is a machine learning model from BoghdadyJR. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
24
Public
Parameters
76.4M
4.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors306 MB · 99%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- marian
- Access
- Public
- Created
- Jul 19, 2024
- Updated
- Aug 4, 2024
- SHA
- 11277130
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/> <img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/> <img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>
ar-en-model
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1237
- Bleu: 61.7434
- Gen Len: 31.2413
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.1394 | 1.0 | 1250 | 0.1527 | 63.1436 | 30.9039 |
| 0.1215 | 2.0 | 2500 | 0.1507 | 63.0988 | 30.8535 |
| 0.1122 | 3.0 | 3750 | 0.1508 | 63.1177 | 30.8768 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Jul 19, 2024
- Updated
- Aug 4, 2024