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wav2vec2-in-hindi-2
SakshiRathi77/wav2vec2-in-hindi-2
wav2vec2-in-hindi-2 is a automatic speech recognition model from SakshiRathi77. 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
- Oct 10, 2023
- Updated
- Oct 10, 2023
- SHA
- 58127592
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. -->
wav2vec2-in-hindi-2
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5608
- Wer: 1.0125
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.1593 | 6.25 | 200 | 4.3070 | 1.0 |
| 3.4289 | 12.5 | 400 | 3.3933 | 1.0 |
| 1.3192 | 18.75 | 600 | 0.8550 | 1.0060 |
| 0.4099 | 25.0 | 800 | 0.5886 | 1.0133 |
| 0.2479 | 31.25 | 1000 | 0.6010 | 1.0141 |
| 0.1942 | 37.5 | 1200 | 0.5653 | 1.0120 |
| 0.1599 | 43.75 | 1400 | 0.5682 | 1.0144 |
| 0.1413 | 50.0 | 1600 | 0.5608 | 1.0125 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Oct 10, 2023
- Updated
- Oct 10, 2023