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my_awesome_mind_model
susmitabhatt/my_awesome_mind_model
my_awesome_mind_model is a audio classification model from susmitabhatt. 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
- Aug 28, 2023
- Updated
- Aug 30, 2023
- SHA
- bd29c1ab
Datasets
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_mind_model
This model is a fine-tuned version of facebook/wav2vec2-base on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 1.7894
- Accuracy: 0.46
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: 7e-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 |
|---|---|---|---|---|
| No log | 0.96 | 6 | 2.2804 | 0.22 |
| 2.2742 | 1.92 | 12 | 2.1887 | 0.25 |
| 2.2742 | 2.88 | 18 | 2.1220 | 0.33 |
| 2.1487 | 4.0 | 25 | 2.0666 | 0.355 |
| 2.0354 | 4.96 | 31 | 1.9963 | 0.325 |
| 2.0354 | 5.92 | 37 | 1.9090 | 0.375 |
| 1.9246 | 6.88 | 43 | 1.8679 | 0.405 |
| 1.8416 | 8.0 | 50 | 1.8185 | 0.44 |
| 1.8416 | 8.96 | 56 | 1.7970 | 0.43 |
| 1.7858 | 9.6 | 60 | 1.7894 | 0.46 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 28, 2023
- Updated
- Aug 30, 2023