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wav2vec2-base-Odia-large
Anujgr8/wav2vec2-base-Odia-large
wav2vec2-base-Odia-large is a automatic speech recognition model from Anujgr8. 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
- Jun 10, 2024
- Updated
- Jun 10, 2024
- SHA
- e11e4264
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-base-Odia-large
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3174
- Wer: 0.2448
- Cer: 0.0666
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: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 6.2874 | 2.3622 | 300 | 3.3817 | 1.0 | 1.0 |
| 2.5772 | 4.7244 | 600 | 1.1573 | 0.7875 | 0.2934 |
| 0.8599 | 7.0866 | 900 | 0.6319 | 0.5302 | 0.1579 |
| 0.532 | 9.4488 | 1200 | 0.5208 | 0.4332 | 0.1278 |
| 0.374 | 11.8110 | 1500 | 0.4485 | 0.3917 | 0.1110 |
| 0.272 | 14.1732 | 1800 | 0.3939 | 0.3383 | 0.0928 |
| 0.2015 | 16.5354 | 2100 | 0.3646 | 0.3040 | 0.0824 |
| 0.152 | 18.8976 | 2400 | 0.3415 | 0.2700 | 0.0741 |
| 0.1146 | 21.2598 | 2700 | 0.3278 | 0.2584 | 0.0691 |
| 0.0939 | 23.6220 | 3000 | 0.3174 | 0.2448 | 0.0666 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 1.18.3
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jun 10, 2024
- Updated
- Jun 10, 2024