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IDAT_grn_aug_103_Wav2Vec
alirzb/IDAT_grn_aug_103_Wav2Vec
IDAT_grn_aug_103_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
- Sep 5, 2024
- Updated
- Sep 5, 2024
- SHA
- 9a55bad8
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_grn_aug_103_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: 0.6844
- Accuracy: 0.5325
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6529 | 1.0 | 175 | 0.7703 | 0.63 |
| 0.647 | 2.0 | 350 | 0.5677 | 0.7375 |
| 0.501 | 3.0 | 525 | 0.4453 | 0.795 |
| 0.508 | 4.0 | 700 | 0.6032 | 0.7275 |
| 0.3762 | 5.0 | 875 | 0.4087 | 0.8125 |
| 0.6688 | 6.0 | 1050 | 0.6859 | 0.5325 |
| 0.6805 | 7.0 | 1225 | 0.6854 | 0.5325 |
| 0.6728 | 8.0 | 1400 | 0.6850 | 0.5325 |
| 0.676 | 9.0 | 1575 | 0.6863 | 0.5325 |
| 0.6724 | 10.0 | 1750 | 0.6853 | 0.5325 |
| 0.6823 | 11.0 | 1925 | 0.6846 | 0.5325 |
| 0.6892 | 12.0 | 2100 | 0.6846 | 0.5325 |
| 0.6781 | 13.0 | 2275 | 0.6850 | 0.5325 |
| 0.6667 | 14.0 | 2450 | 0.6846 | 0.5325 |
| 0.6718 | 15.0 | 2625 | 0.6854 | 0.5325 |
| 0.6744 | 16.0 | 2800 | 0.6852 | 0.5325 |
| 0.6774 | 17.0 | 2975 | 0.6846 | 0.5325 |
| 0.662 | 18.0 | 3150 | 0.6845 | 0.5325 |
| 0.6813 | 19.0 | 3325 | 0.6844 | 0.5325 |
| 0.6728 | 20.0 | 3500 | 0.6844 | 0.5325 |
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
- Sep 5, 2024
- Updated
- Sep 5, 2024