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init_Wav2Vec
alirzb/init_Wav2Vec
init_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
- Aug 21, 2024
- Updated
- Aug 23, 2024
- SHA
- 2825b680
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. -->
init_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: 0.6622
- Accuracy: 0.6757
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|---|---|---|---|---|
| No log | 0.73 | 2 | 0.6950 | 0.4865 |
| No log | 1.82 | 5 | 0.6838 | 0.4865 |
| No log | 2.91 | 8 | 0.6538 | 0.7027 |
| 0.6755 | 4.0 | 11 | 0.6984 | 0.4865 |
| 0.6755 | 4.73 | 13 | 0.7010 | 0.4054 |
| 0.6755 | 5.82 | 16 | 0.6609 | 0.7027 |
| 0.6755 | 6.91 | 19 | 0.6618 | 0.6757 |
| 0.6234 | 7.27 | 20 | 0.6622 | 0.6757 |
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
- Aug 21, 2024
- Updated
- Aug 23, 2024