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distil-medium.en-ft-children-with-sli
ManyaGupta/distil-medium.en-ft-children-with-sli
distil-medium.en-ft-children-with-sli is a audio classification model from ManyaGupta. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- mit
- Model type
- whisper
- Access
- Public
- Created
- May 24, 2024
- Updated
- May 24, 2024
- SHA
- b8de78d4
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. -->
distil-medium.en-ft-children-with-sli
This model is a fine-tuned version of distil-whisper/distil-medium.en on the ChildrenSLIDataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.0456
- Accuracy: 0.9960
- F1: 0.9958
- Precision: 0.9968
- Recall: 0.9949
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: 2
- eval_batch_size: 2
- seed: 42
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0001 | 1.0 | 504 | 0.2825 | 0.9643 | 0.9619 | 0.9722 | 0.9545 |
| 0.0009 | 2.0 | 1008 | 0.0834 | 0.9881 | 0.9875 | 0.9884 | 0.9866 |
| 0.0002 | 3.0 | 1512 | 0.0442 | 0.9921 | 0.9917 | 0.9935 | 0.9899 |
| 0.0001 | 4.0 | 2016 | 0.1658 | 0.9762 | 0.9751 | 0.9736 | 0.9768 |
| 0.0 | 5.0 | 2520 | 0.0390 | 0.9960 | 0.9958 | 0.9968 | 0.9949 |
| 0.0 | 6.0 | 3024 | 0.0420 | 0.9960 | 0.9958 | 0.9968 | 0.9949 |
| 0.0 | 7.0 | 3528 | 0.0436 | 0.9960 | 0.9958 | 0.9968 | 0.9949 |
| 0.0 | 8.0 | 4032 | 0.0446 | 0.9960 | 0.9958 | 0.9968 | 0.9949 |
| 0.0 | 9.0 | 4536 | 0.0452 | 0.9960 | 0.9958 | 0.9968 | 0.9949 |
| 0.0 | 10.0 | 5040 | 0.0456 | 0.9960 | 0.9958 | 0.9968 | 0.9949 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Audio Classification
- Library
- transformers
- Type
- whisper
- License
- mit
- Created
- May 24, 2024
- Updated
- May 24, 2024