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my_awesome_torgo_model_non_shuffled
Juardo/my_awesome_torgo_model_non_shuffled
my_awesome_torgo_model_non_shuffled is a audio classification model from Juardo. 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
- May 23, 2023
- Updated
- May 23, 2023
- SHA
- 8f5dd42f
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. -->
my_awesome_torgo_model_non_shuffled
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: 0.3649
- Accuracy: 0.8625
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|---|---|---|---|---|
| 0.6826 | 0.96 | 12 | 0.6195 | 0.755 |
| 0.6091 | 2.0 | 25 | 0.5546 | 0.7375 |
| 0.5608 | 2.96 | 37 | 0.5284 | 0.7625 |
| 0.5885 | 4.0 | 50 | 0.7199 | 0.6125 |
| 0.5405 | 4.96 | 62 | 0.4545 | 0.8425 |
| 0.4993 | 6.0 | 75 | 0.4261 | 0.855 |
| 0.4352 | 6.96 | 87 | 0.3914 | 0.8625 |
| 0.3657 | 8.0 | 100 | 0.3721 | 0.87 |
| 0.3196 | 8.96 | 112 | 0.3627 | 0.865 |
| 0.3188 | 9.6 | 120 | 0.3649 | 0.8625 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- May 23, 2023
- Updated
- May 23, 2023