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my_awesome_mind_model3
j2100067/my_awesome_mind_model3
my_awesome_mind_model3 is a audio classification model from j2100067. 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
- Jan 14, 2025
- Updated
- Jan 14, 2025
- SHA
- 12391e23
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_model3
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: 2.6558
- Accuracy: 0.0531
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 | 2.6411 | 0.0796 |
| No log | 1.9333 | 7 | 2.6523 | 0.0354 |
| 2.6337 | 2.8 | 10 | 2.6576 | 0.0354 |
| 2.6337 | 3.9333 | 14 | 2.6520 | 0.0619 |
| 2.6337 | 4.8 | 17 | 2.6551 | 0.0442 |
| 2.6187 | 5.9333 | 21 | 2.6550 | 0.0531 |
| 2.6187 | 6.8 | 24 | 2.6555 | 0.0531 |
| 2.6187 | 7.9333 | 28 | 2.6572 | 0.0531 |
| 2.614 | 8.5333 | 30 | 2.6558 | 0.0531 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jan 14, 2025
- Updated
- Jan 14, 2025