Downloads · 30 days
0
hubert-large-ll60k_arabic
nrshoudi/hubert-large-ll60k_arabic
hubert-large-ll60k_arabic is a machine learning model from nrshoudi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Dec 5, 2023
Repo size
12.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors12.6 MB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 4, 2023
- Updated
- Dec 5, 2023
- SHA
- d17bb2fd
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. -->
hubert-large-ll60k_arabic
This model is a fine-tuned version of facebook/hubert-large-ll60k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.0197
- Wer: 1.0
- Per: 1.0
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Per |
|---|---|---|---|---|---|
| 15.0257 | 1.0 | 1637 | 4.0741 | 1.0 | 1.0 |
| 4.0101 | 2.0 | 3274 | 4.0442 | 1.0 | 1.0 |
| 3.9446 | 3.0 | 4911 | 4.0444 | 1.0 | 1.0 |
| 3.9302 | 4.0 | 6548 | 4.0440 | 1.0 | 1.0 |
| 3.9456 | 5.0 | 8185 | 4.0453 | 1.0 | 1.0 |
| 4.0388 | 6.0 | 9822 | 4.0415 | 1.0 | 1.0 |
| 3.9297 | 7.0 | 11459 | 4.0442 | 1.0 | 1.0 |
| 3.9443 | 8.0 | 13096 | 4.0395 | 1.0 | 1.0 |
| 3.9362 | 9.0 | 14733 | 4.0647 | 1.0000 | 1.0000 |
| 3.9785 | 10.0 | 16370 | 4.3751 | 1.0 | 1.0 |
| 3.9934 | 11.0 | 18007 | 4.0295 | 1.0 | 1.0 |
| 3.9361 | 12.0 | 19644 | 4.0276 | 1.0 | 1.0 |
| 3.913 | 13.0 | 21281 | 4.0239 | 1.0 | 1.0 |
| 3.9023 | 14.0 | 22918 | 4.0227 | 1.0 | 1.0 |
| 3.8957 | 15.0 | 24555 | 4.0228 | 1.0 | 1.0 |
| 3.9021 | 16.0 | 26192 | 4.0207 | 1.0 | 1.0 |
| 3.8897 | 17.0 | 27829 | 4.0213 | 1.0 | 1.0 |
| 3.8939 | 18.0 | 29466 | 4.0213 | 1.0 | 1.0 |
| 3.8949 | 19.0 | 31103 | 4.0204 | 1.0 | 1.0 |
| 3.8987 | 20.0 | 32740 | 4.0197 | 1.0 | 1.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- License
- apache-2.0
- Created
- Dec 4, 2023
- Updated
- Dec 5, 2023