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wav2vec2-large-xlsr-53-oria
KhushiDS/wav2vec2-large-xlsr-53-oria
wav2vec2-large-xlsr-53-oria is a automatic speech recognition model from KhushiDS. 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
- Feb 26, 2025
- Updated
- Feb 26, 2025
- SHA
- 7a19d263
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-xlsr-53-oria-Version2
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.7388
- Wer: 0.4380
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: 70
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.1886 | 2.1505 | 100 | 5.8077 | 1.0 |
| 3.4942 | 4.3011 | 200 | 3.4903 | 1.0 |
| 3.4535 | 6.4516 | 300 | 3.4622 | 1.0 |
| 3.4533 | 8.6022 | 400 | 3.4484 | 1.0 |
| 3.5108 | 10.7527 | 500 | 3.4461 | 1.0 |
| 3.2951 | 12.9032 | 600 | 3.2130 | 1.0 |
| 1.1127 | 15.0538 | 700 | 1.0820 | 0.8127 |
| 0.6285 | 17.2043 | 800 | 0.7477 | 0.6510 |
| 0.5072 | 19.3548 | 900 | 0.6540 | 0.5758 |
| 0.3865 | 21.5054 | 1000 | 0.6212 | 0.5475 |
| 0.2889 | 23.6559 | 1100 | 0.6020 | 0.5204 |
| 0.2316 | 25.8065 | 1200 | 0.6334 | 0.5086 |
| 0.2105 | 27.9570 | 1300 | 0.6443 | 0.5007 |
| 0.2124 | 30.1075 | 1400 | 0.6318 | 0.4970 |
| 0.1916 | 32.2581 | 1500 | 0.6638 | 0.4918 |
| 0.1487 | 34.4086 | 1600 | 0.6562 | 0.4784 |
| 0.1742 | 36.5591 | 1700 | 0.6583 | 0.4808 |
| 0.1542 | 38.7097 | 1800 | 0.6618 | 0.4662 |
| 0.1015 | 40.8602 | 1900 | 0.6770 | 0.4652 |
| 0.1173 | 43.0108 | 2000 | 0.6982 | 0.4617 |
| 0.1162 | 45.1613 | 2100 | 0.7020 | 0.4575 |
| 0.1077 | 47.3118 | 2200 | 0.7189 | 0.4551 |
| 0.0914 | 49.4624 | 2300 | 0.7335 | 0.4536 |
| 0.1038 | 51.6129 | 2400 | 0.7180 | 0.4554 |
| 0.0814 | 53.7634 | 2500 | 0.7276 | 0.4524 |
| 0.0782 | 55.9140 | 2600 | 0.7411 | 0.4486 |
| 0.1001 | 58.0645 | 2700 | 0.7250 | 0.4474 |
| 0.0781 | 60.2151 | 2800 | 0.7226 | 0.4475 |
| 0.0677 | 62.3656 | 2900 | 0.7344 | 0.4426 |
| 0.0757 | 64.5161 | 3000 | 0.7341 | 0.4405 |
| 0.0636 | 66.6667 | 3100 | 0.7394 | 0.4390 |
| 0.0762 | 68.8172 | 3200 | 0.7388 | 0.4380 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Languages
- or
- Created
- Feb 26, 2025
- Updated
- Feb 26, 2025