Downloads · 30 days
9
2% of all-time downloads
wav2vec2-xls-r-164m-id
AhBotNLP/wav2vec2-xls-r-164m-id
wav2vec2-xls-r-164m-id is a automatic speech recognition model from AhBotNLP. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
484
Public
Repo size
59.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin657 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Feb 5, 2023
- Updated
- Feb 12, 2023
- SHA
- facdc9cf
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. -->
wav2vec2-xls-r-164m-id
This model is a fine-tuned version of evanarlian/distil-wav2vec2-xls-r-164m-id on the evanarlian/common_voice_11_0_id_filtered dataset. It achieves the following results on the evaluation set:
- Loss: 0.2865
- Wer: 0.2923
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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 80.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.4047 | 4.59 | 5000 | 1.0167 | 0.9138 |
| 0.587 | 9.18 | 10000 | 0.4639 | 0.5615 |
| 0.3782 | 13.77 | 15000 | 0.3375 | 0.4496 |
| 0.2867 | 18.37 | 20000 | 0.2881 | 0.4022 |
| 0.2519 | 22.96 | 25000 | 0.2775 | 0.3700 |
| 0.1941 | 27.55 | 30000 | 0.2701 | 0.3516 |
| 0.1727 | 32.14 | 35000 | 0.2795 | 0.3486 |
| 0.1448 | 36.73 | 40000 | 0.2878 | 0.3364 |
| 0.1251 | 41.32 | 45000 | 0.2649 | 0.3275 |
| 0.113 | 45.91 | 50000 | 0.2862 | 0.3168 |
| 0.0994 | 50.51 | 55000 | 0.2798 | 0.3091 |
| 0.0938 | 55.1 | 60000 | 0.2864 | 0.3070 |
| 0.0853 | 59.69 | 65000 | 0.2860 | 0.3069 |
| 0.0724 | 64.28 | 70000 | 0.2994 | 0.3003 |
| 0.0723 | 68.87 | 75000 | 0.2951 | 0.2983 |
| 0.0666 | 73.46 | 80000 | 0.2886 | 0.2941 |
| 0.0659 | 78.05 | 85000 | 0.2865 | 0.2923 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Created
- Feb 5, 2023
- Updated
- Feb 12, 2023