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my_awesome_lang_class_mind_model
DanielDBGC/my_awesome_lang_class_mind_model
my_awesome_lang_class_mind_model is a audio classification model from DanielDBGC. 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
- Nov 26, 2023
- Updated
- Dec 9, 2023
- SHA
- 30d38324
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_lang_class_mind_model
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: 2.3072
- Accuracy: 0.2124
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: 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 |
|---|---|---|---|---|
| 2.597 | 1.0 | 51 | 2.5777 | 0.1481 |
| 2.4608 | 1.99 | 102 | 2.4484 | 0.1567 |
| 2.4352 | 2.99 | 153 | 2.4153 | 0.1548 |
| 2.3965 | 4.0 | 205 | 2.3796 | 0.1897 |
| 2.363 | 5.0 | 256 | 2.3622 | 0.1922 |
| 2.3369 | 5.99 | 307 | 2.3496 | 0.1854 |
| 2.292 | 6.99 | 358 | 2.3286 | 0.2038 |
| 2.2788 | 8.0 | 410 | 2.3170 | 0.2075 |
| 2.2537 | 9.0 | 461 | 2.3090 | 0.2044 |
| 2.241 | 9.95 | 510 | 2.3072 | 0.2124 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Nov 26, 2023
- Updated
- Dec 9, 2023