Downloads · 30 days
5
5% of all-time downloads
my_awesome_mind_model
carlosdonado/my_awesome_mind_model
my_awesome_mind_model is a audio classification model from carlosdonado. 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. --
All-time downloads
91
Public
Parameters
94.6M
2.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors378 MB · 100%
At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Apr 8, 2026
- Updated
- Apr 8, 2026
- SHA
- 69b1bad7
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. -->
my_awesome_mind_model
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: 2.6560
- 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 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_steps: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 4 | 2.6363 | 0.0531 |
| No log | 2.0 | 8 | 2.6384 | 0.0708 |
| 10.0153 | 3.0 | 12 | 2.6383 | 0.0619 |
| 10.0153 | 4.0 | 16 | 2.6435 | 0.0619 |
| 9.7050 | 5.0 | 20 | 2.6518 | 0.0265 |
| 9.7050 | 6.0 | 24 | 2.6575 | 0.0354 |
| 9.7050 | 7.0 | 28 | 2.6601 | 0.0531 |
| 9.9320 | 8.0 | 32 | 2.6575 | 0.0442 |
| 9.9320 | 9.0 | 36 | 2.6574 | 0.0442 |
| 9.6670 | 10.0 | 40 | 2.6560 | 0.0531 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Apr 8, 2026
- Updated
- Apr 8, 2026