Downloads · 30 days
5
9% of all-time downloads
hubert_arabic_mdd_5
nrshoudi/hubert_arabic_mdd_5
hubert_arabic_mdd_5 is a automatic speech recognition model from nrshoudi. Use it when you need speech turned into text. 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
53
Public
Parameters
315M
1.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.3 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Dec 6, 2023
- Updated
- Dec 6, 2023
- SHA
- 958509ea
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_arabic_mdd_5
This model is a fine-tuned version of facebook/hubert-large-ls960-ft on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6845
- Wer: 0.1910
- Per: 0.1682
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Per |
|---|---|---|---|---|---|
| 21.0868 | 1.0 | 82 | 3.5829 | 1.0 | 1.0 |
| 3.5419 | 2.0 | 164 | 3.3544 | 1.0 | 1.0 |
| 3.3109 | 3.0 | 246 | 3.1878 | 1.0 | 1.0 |
| 3.2117 | 4.0 | 328 | 3.1324 | 1.0 | 1.0 |
| 3.0509 | 5.0 | 410 | 2.9238 | 1.0 | 1.0 |
| 2.7904 | 6.0 | 492 | 2.4830 | 1.0 | 1.0 |
| 2.2728 | 7.0 | 574 | 2.0478 | 0.8358 | 0.8474 |
| 1.8365 | 8.0 | 656 | 1.6043 | 0.7094 | 0.7206 |
| 1.4603 | 9.0 | 738 | 1.2872 | 0.6193 | 0.6247 |
| 1.2203 | 10.0 | 820 | 1.2694 | 0.4343 | 0.4229 |
| 0.9726 | 11.0 | 902 | 0.9350 | 0.4191 | 0.4116 |
| 0.8458 | 12.0 | 984 | 0.8471 | 0.3734 | 0.3640 |
| 0.7365 | 13.0 | 1066 | 0.8078 | 0.3530 | 0.3439 |
| 0.6204 | 14.0 | 1148 | 0.7618 | 0.3031 | 0.2874 |
| 0.5913 | 15.0 | 1230 | 0.7372 | 0.2598 | 0.2382 |
| 0.5217 | 16.0 | 1312 | 0.7219 | 0.2354 | 0.2149 |
| 0.4866 | 17.0 | 1394 | 0.7125 | 0.2071 | 0.1836 |
| 0.4735 | 18.0 | 1476 | 0.7071 | 0.1967 | 0.1742 |
| 0.462 | 19.0 | 1558 | 0.6910 | 0.1910 | 0.1677 |
| 0.458 | 20.0 | 1640 | 0.6845 | 0.1910 | 0.1682 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Dec 6, 2023
- Updated
- Dec 6, 2023