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my_awesome_mind_model
indrajitharidas/my_awesome_mind_model
my_awesome_mind_model is a audio classification model from indrajitharidas. 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
- Sep 20, 2024
- Updated
- Sep 24, 2024
- SHA
- f7e780cf
Base models
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 audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.6889
- F1: 0.2564
- Precision: 0.7143
- Recall: 0.1562
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 | F1 | Precision | Recall |
|---|---|---|---|---|---|---|
| No log | 1.0 | 2 | 0.6914 | 0.2162 | 0.8 | 0.125 |
| No log | 2.0 | 4 | 0.6894 | 0.4815 | 0.5909 | 0.4062 |
| No log | 3.0 | 6 | 0.6887 | 0.3256 | 0.6364 | 0.2188 |
| No log | 4.0 | 8 | 0.6881 | 0.3415 | 0.7778 | 0.2188 |
| 0.6907 | 5.0 | 10 | 0.6883 | 0.3415 | 0.7778 | 0.2188 |
| 0.6907 | 6.0 | 12 | 0.6890 | 0.2564 | 0.7143 | 0.1562 |
| 0.6907 | 7.0 | 14 | 0.6894 | 0.2564 | 0.7143 | 0.1562 |
| 0.6907 | 8.0 | 16 | 0.6894 | 0.2105 | 0.6667 | 0.125 |
| 0.6907 | 9.0 | 18 | 0.6890 | 0.2564 | 0.7143 | 0.1562 |
| 0.6851 | 10.0 | 20 | 0.6889 | 0.2564 | 0.7143 | 0.1562 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Sep 20, 2024
- Updated
- Sep 24, 2024