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SERENE_MODEL
mali111222333/SERENE_MODEL
SERENE_MODEL is a audio classification model from mali111222333. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- mit
- Model type
- wav2vec2-bert
- Access
- Public
- Created
- Oct 1, 2025
- Updated
- Oct 2, 2025
- SHA
- 93365cf0
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. -->
SERENE_MODEL
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the mali111222333/SERENE_DATA_MINI dataset. It achieves the following results on the evaluation set:
- Loss: 2.0386
- Accuracy: 0.18
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 10.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1583 | 1.0 | 50 | 2.1838 | 0.14 |
| 2.1203 | 2.0 | 100 | 2.0602 | 0.14 |
| 2.0951 | 3.0 | 150 | 2.0467 | 0.14 |
| 2.0314 | 4.0 | 200 | 2.0527 | 0.1 |
| 2.0837 | 5.0 | 250 | 2.0672 | 0.1 |
| 2.0831 | 6.0 | 300 | 2.0386 | 0.18 |
| 2.0543 | 7.0 | 350 | 2.0383 | 0.18 |
| 2.1108 | 8.0 | 400 | 2.0346 | 0.18 |
| 2.1062 | 9.0 | 450 | 2.0405 | 0.14 |
| 2.0434 | 10.0 | 500 | 2.0391 | 0.14 |
Framework versions
- Transformers 4.57.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2-bert
- License
- mit
- Created
- Oct 1, 2025
- Updated
- Oct 2, 2025