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eng_Emp_reco
midoiv/eng_Emp_reco
eng_Emp_reco is a audio classification model from midoiv. Use it for the audio classification task on the model card, and read the license before you ship it in a product. 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
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Apr 19, 2024
- Updated
- Apr 19, 2024
- SHA
- a2e7c118
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. -->
eng_Emp_reco
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
- Accuracy: {'accuracy': 1.0}
- F1score: {'f1': 1.0}
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1score |
|---|---|---|---|---|---|
| 0.0254 | 1.0 | 320 | 0.0106 | {'accuracy': 0.9984375} | {'f1': 0.9984376713627683} |
| 0.002 | 2.0 | 640 | 0.0013 | {'accuracy': 1.0} | {'f1': 1.0} |
| 0.0019 | 3.0 | 960 | 0.0006 | {'accuracy': 1.0} | {'f1': 1.0} |
| 0.0019 | 4.0 | 1280 | 0.0004 | {'accuracy': 1.0} | {'f1': 1.0} |
| 0.0003 | 5.0 | 1600 | 0.0063 | {'accuracy': 0.9984375} | {'f1': 0.9984376713627683} |
| 0.0003 | 6.0 | 1920 | 0.0002 | {'accuracy': 1.0} | {'f1': 1.0} |
| 0.0003 | 7.0 | 2240 | 0.0001 | {'accuracy': 1.0} | {'f1': 1.0} |
| 0.0002 | 8.0 | 2560 | 0.0001 | {'accuracy': 1.0} | {'f1': 1.0} |
| 0.0002 | 9.0 | 2880 | 0.0001 | {'accuracy': 1.0} | {'f1': 1.0} |
| 0.0002 | 10.0 | 3200 | 0.0001 | {'accuracy': 1.0} | {'f1': 1.0} |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Apr 19, 2024
- Updated
- Apr 19, 2024