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my_awesome_mind
shiftxie/my_awesome_mind
my_awesome_mind is a audio classification model from shiftxie. 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
- Feb 20, 2024
- Updated
- Feb 26, 2024
- SHA
- 288e165d
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
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 2.6359
- Accuracy: 0.0619
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 |
|---|---|---|---|---|
| No log | 0.8 | 3 | 2.6579 | 0.0796 |
| No log | 1.8 | 6 | 2.6500 | 0.0796 |
| No log | 2.8 | 9 | 2.6507 | 0.0708 |
| 3.2239 | 3.8 | 12 | 2.6486 | 0.0708 |
| 3.2239 | 4.8 | 15 | 2.6410 | 0.1150 |
| 3.2239 | 5.8 | 18 | 2.6365 | 0.0973 |
| 3.2191 | 6.8 | 21 | 2.6367 | 0.0885 |
| 3.2191 | 7.8 | 24 | 2.6379 | 0.0708 |
| 3.2191 | 8.8 | 27 | 2.6353 | 0.0796 |
| 3.2232 | 9.8 | 30 | 2.6359 | 0.0619 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Feb 20, 2024
- Updated
- Feb 26, 2024