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wav2vec2-base-finetuned-minds14
guo1006/wav2vec2-base-finetuned-minds14
wav2vec2-base-finetuned-minds14 is a audio classification model from guo1006. 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 3, 2025
- Updated
- Sep 12, 2025
- SHA
- 8b0df334
Base models
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. -->
wav2vec2-base-finetuned-minds14
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6422
- Accuracy: 0.0893
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 OptimizerNames.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 | 1.0 | 4 | 2.6302 | 0.125 |
| No log | 2.0 | 8 | 2.6388 | 0.0893 |
| 2.5039 | 3.0 | 12 | 2.6415 | 0.0714 |
| 2.5039 | 4.0 | 16 | 2.6421 | 0.0893 |
| 2.4315 | 5.0 | 20 | 2.6467 | 0.1071 |
| 2.4315 | 6.0 | 24 | 2.6451 | 0.1071 |
| 2.4315 | 7.0 | 28 | 2.6422 | 0.0893 |
| 2.4967 | 8.0 | 32 | 2.6416 | 0.1071 |
| 2.4967 | 9.0 | 36 | 2.6421 | 0.0893 |
| 2.4238 | 10.0 | 40 | 2.6422 | 0.0893 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Sep 3, 2025
- Updated
- Sep 12, 2025