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asr-for-phoneme-detection-2
kavsss/asr-for-phoneme-detection-2
asr-for-phoneme-detection-2 is a machine learning model from kavsss. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Oct 13, 2024
- Updated
- Oct 13, 2024
- SHA
- a1b0494e
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. -->
asr-for-phoneme-detection-2
This model is a fine-tuned version of kavsss/asr-for-phoneme-detection-1 on the TIMIT dataset. It achieves the following results on the evaluation set:
- Loss: 0.2476
- Wer: 0.1381
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: 4
- 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: 1000
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.7602 | 0.7440 | 500 | 0.8088 | 0.3476 |
| 0.5624 | 1.4881 | 1000 | 0.3685 | 0.1844 |
| 0.395 | 2.2321 | 1500 | 0.2887 | 0.1576 |
| 0.3096 | 2.9762 | 2000 | 0.2663 | 0.1502 |
| 0.2508 | 3.7202 | 2500 | 0.2476 | 0.1381 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Oct 13, 2024
- Updated
- Oct 13, 2024