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wav2vec2-xls-r-300m-Turkish-Tr-small-CommonVoice8
emre/wav2vec2-xls-r-300m-Turkish-Tr-small-CommonVoice8
wav2vec2-xls-r-300m-Turkish-Tr-small-CommonVoice8 is a automatic speech recognition model from emre. 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. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 10, 2022
- SHA
- 226f4f7f
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-xls-r-300m-Turkish-Tr-small-CommonVoice8
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.4813
- Wer: 0.7207
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.2 | 0.53 | 400 | 3.1949 | 0.9964 |
| 2.9387 | 1.07 | 800 | 2.5015 | 1.0337 |
| 1.5975 | 1.6 | 1200 | 1.0928 | 0.9945 |
| 1.0688 | 2.13 | 1600 | 0.8388 | 0.9390 |
| 0.8977 | 2.66 | 2000 | 0.7106 | 0.8889 |
| 0.789 | 3.2 | 2400 | 0.6051 | 0.8273 |
| 0.7116 | 3.73 | 2800 | 0.5580 | 0.7855 |
| 0.6576 | 4.26 | 3200 | 0.5033 | 0.7433 |
| 0.6002 | 4.79 | 3600 | 0.4813 | 0.7207 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.18.1
- Tokenizers 0.10.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Feb 10, 2022