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IDAT_red_aug_5443_novel_Wav2Vec
alirzb/IDAT_red_aug_5443_novel_Wav2Vec
IDAT_red_aug_5443_novel_Wav2Vec is a machine learning model from alirzb. 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 19, 2024
- Updated
- Oct 19, 2024
- SHA
- 069dda3a
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. -->
IDAT_red_aug_5443_novel_Wav2Vec
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0190
- Accuracy: 0.7025
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.576 | 1.0 | 200 | 0.6397 | 0.6512 |
| 0.5181 | 2.0 | 400 | 0.5415 | 0.7425 |
| 0.3743 | 3.0 | 600 | 0.5854 | 0.7662 |
| 0.3121 | 4.0 | 800 | 0.3357 | 0.8625 |
| 0.3069 | 5.0 | 1000 | 0.3341 | 0.865 |
| 0.3384 | 6.0 | 1200 | 0.3345 | 0.8625 |
| 0.449 | 7.0 | 1400 | 0.4558 | 0.7762 |
| 0.3062 | 8.0 | 1600 | 0.2643 | 0.91 |
| 0.1498 | 9.0 | 1800 | 0.6104 | 0.7887 |
| 0.0141 | 10.0 | 2000 | 1.0190 | 0.7025 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Oct 19, 2024
- Updated
- Oct 19, 2024