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wav2vec_pretraining_output-finetuned-fb
isabelarvelo/wav2vec_pretraining_output-finetuned-fb
wav2vec_pretraining_output-finetuned-fb is a audio classification model from isabelarvelo. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Feb 22, 2024
- Updated
- Feb 23, 2024
- SHA
- f3817cb3
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. -->
wav2vec_finetuning_output
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3368
- Accuracy: 0.5338
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3588 | 1.0 | 203 | 1.3368 | 0.5338 |
| 1.2412 | 2.0 | 406 | 1.3360 | 0.5338 |
| 1.3518 | 3.0 | 609 | 1.3296 | 0.5314 |
| 1.3174 | 4.0 | 813 | 1.3107 | 0.5338 |
| 1.3107 | 4.99 | 1015 | 1.3112 | 0.5338 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- Created
- Feb 22, 2024
- Updated
- Feb 23, 2024