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ser_model
aherzberg/ser_model
ser_model is a audio classification model from aherzberg. 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
- Feb 26, 2023
- Updated
- Feb 26, 2023
- SHA
- 10378648
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. -->
ser_model
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4615
- Accuracy: 0.8471
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 |
|---|---|---|---|---|
| 1.0541 | 1.0 | 162 | 0.9782 | 0.6650 |
| 0.7858 | 2.0 | 324 | 0.6777 | 0.7624 |
| 0.5927 | 3.0 | 486 | 0.5659 | 0.8028 |
| 0.4803 | 4.0 | 648 | 0.5004 | 0.8186 |
| 0.3951 | 5.0 | 810 | 0.4971 | 0.8175 |
| 0.3656 | 6.0 | 972 | 0.4670 | 0.8310 |
| 0.286 | 7.0 | 1134 | 0.4965 | 0.8306 |
| 0.2879 | 8.0 | 1296 | 0.4620 | 0.8421 |
| 0.2417 | 9.0 | 1458 | 0.4554 | 0.8460 |
| 0.2182 | 10.0 | 1620 | 0.4615 | 0.8471 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Feb 26, 2023
- Updated
- Feb 26, 2023