Downloads · 30 days
5
1% of all-time downloads
wav2vec2-large-xls-r-vi-colab
Thienpkae/wav2vec2-large-xls-r-vi-colab
wav2vec2-large-xls-r-vi-colab is a automatic speech recognition model from Thienpkae. 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
681
Public
Parameters
94.4M
12.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors378 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jun 21, 2024
- Updated
- Jul 31, 2024
- SHA
- ac316f51
Base models
Datasets
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-large-xls-r-vi-colab
This model is a fine-tuned version of facebook/wav2vec2-base on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 3.4884
- Wer: 1.0
- Cer: 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 80
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 9.4752 | 7.1111 | 160 | 4.4992 | 1.0 | 1.0 |
| 4.2035 | 14.2222 | 320 | 3.9228 | 1.0 | 1.0 |
| 3.7611 | 21.3333 | 480 | 3.6584 | 1.0 | 1.0 |
| 3.5825 | 28.4444 | 640 | 3.5584 | 1.0 | 1.0 |
| 3.5044 | 35.5556 | 800 | 3.5285 | 1.0 | 1.0 |
| 3.4669 | 42.6667 | 960 | 3.5226 | 1.0 | 1.0 |
| 3.4382 | 49.7778 | 1120 | 3.5093 | 1.0 | 1.0 |
| 3.4183 | 56.8889 | 1280 | 3.4942 | 1.0 | 1.0 |
| 3.4002 | 64.0 | 1440 | 3.4957 | 1.0 | 1.0 |
| 3.3871 | 71.1111 | 1600 | 3.4896 | 1.0 | 1.0 |
| 3.382 | 78.2222 | 1760 | 3.4884 | 1.0 | 1.0 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jun 21, 2024
- Updated
- Jul 31, 2024