Downloads · 30 days
3
11% of all-time downloads
ZL_XLSR_MODEL_KATANA
ZLOW/ZL_XLSR_MODEL_KATANA
ZL_XLSR_MODEL_KATANA is a audio classification model from ZLOW. 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
28
Public
Repo size
1.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin378 MB · 100%
At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jul 9, 2023
- Updated
- Jul 17, 2023
- SHA
- d513c1ce
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. -->
ZL_XLSR_MODEL_KATANA
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: 2.6487
- 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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 | 1.0 | 2 | 2.6498 | 0.0619 |
| No log | 2.0 | 4 | 2.6447 | 0.1062 |
| No log | 3.0 | 6 | 2.6453 | 0.0442 |
| No log | 4.0 | 8 | 2.6435 | 0.0973 |
| 2.6352 | 5.0 | 10 | 2.6480 | 0.0708 |
| 2.6352 | 6.0 | 12 | 2.6500 | 0.0354 |
| 2.6352 | 7.0 | 14 | 2.6493 | 0.0885 |
| 2.6352 | 8.0 | 16 | 2.6486 | 0.0708 |
| 2.6352 | 9.0 | 18 | 2.6489 | 0.0708 |
| 2.623 | 10.0 | 20 | 2.6487 | 0.0619 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jul 9, 2023
- Updated
- Jul 17, 2023