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wav2vec2-base-960h-finetuned-ks
tataun/wav2vec2-base-960h-finetuned-ks
wav2vec2-base-960h-finetuned-ks is a audio classification model from tataun. 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
- Dec 18, 2023
- Updated
- Dec 21, 2023
- SHA
- c327565c
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-960h-finetuned-ks
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6449
- Accuracy: 0.1069
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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- lr_scheduler_warmup_steps: 10
- training_steps: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 2.6379 | 0.0840 |
| 1.3193 | 2.0 | 3 | 2.6377 | 0.0840 |
| 1.1536 | 3.0 | 4 | 2.6374 | 0.0763 |
| 0.8255 | 4.0 | 6 | 2.6377 | 0.0763 |
| 0.8247 | 5.0 | 8 | 2.6390 | 0.0763 |
| 0.8247 | 6.0 | 9 | 2.6387 | 0.0840 |
| 1.1536 | 7.0 | 11 | 2.6415 | 0.0992 |
| 1.3183 | 8.0 | 12 | 2.6408 | 0.0916 |
| 1.3183 | 9.0 | 13 | 2.6402 | 0.0992 |
| 1.3176 | 10.0 | 15 | 2.6414 | 0.0992 |
| 1.1517 | 11.0 | 16 | 2.6419 | 0.0992 |
| 0.823 | 12.0 | 18 | 2.6426 | 0.0992 |
| 0.8222 | 13.0 | 20 | 2.6449 | 0.1069 |
| 0.8222 | 14.0 | 21 | 2.6467 | 0.0992 |
| 1.1534 | 15.0 | 23 | 2.6469 | 0.0916 |
| 1.3186 | 16.0 | 24 | 2.6464 | 0.0840 |
| 1.3186 | 17.0 | 25 | 2.6460 | 0.0840 |
| 1.3143 | 18.0 | 27 | 2.6454 | 0.0916 |
| 1.1482 | 19.0 | 28 | 2.6450 | 0.0840 |
| 0.8229 | 20.0 | 30 | 2.6450 | 0.0840 |
Framework versions
- Transformers 4.36.2
- 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
- Dec 18, 2023
- Updated
- Dec 21, 2023