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wav2vec2-large-xls-r-300m-turkish-colab
krirk/wav2vec2-large-xls-r-300m-turkish-colab
wav2vec2-large-xls-r-300m-turkish-colab is a automatic speech recognition model from krirk. 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
- Jan 26, 2022
- SHA
- 87b6460f
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-300m-turkish-colab
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: 0.3942
- Wer: 0.3149
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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.9921 | 3.67 | 400 | 0.7820 | 0.7857 |
| 0.4496 | 7.34 | 800 | 0.4630 | 0.4977 |
| 0.2057 | 11.01 | 1200 | 0.4293 | 0.4627 |
| 0.1328 | 14.68 | 1600 | 0.4464 | 0.4068 |
| 0.1009 | 18.35 | 2000 | 0.4461 | 0.3742 |
| 0.0794 | 22.02 | 2400 | 0.4328 | 0.3467 |
| 0.0628 | 25.69 | 2800 | 0.4036 | 0.3263 |
| 0.0497 | 29.36 | 3200 | 0.3942 | 0.3149 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Jan 26, 2022