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digit-mask-unispeech-sat-base-ft
mazkooleg/digit-mask-unispeech-sat-base-ft
digit-mask-unispeech-sat-base-ft is a audio classification model from mazkooleg. 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
- unispeech-sat
- Access
- Public
- Created
- May 6, 2023
- Updated
- May 6, 2023
- SHA
- 46a22663
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. -->
unispeech-sat-base-digit-mask-ft
This model is a fine-tuned version of microsoft/unispeech-sat-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0053
- Accuracy: 0.9991
- F1: 0.9991
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: 1e-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: 3
Training results
| Training Loss | Epoch | Step | Accuracy | F1 | Validation Loss |
|---|---|---|---|---|---|
| 0.0079 | 1.0 | 14264 | 0.9991 | 0.9991 | 0.0053 |
| 0.0019 | 2.0 | 28528 | 0.9987 | 0.9987 | 0.0078 |
| 0.0009 | 3.0 | 42792 | 0.9989 | 0.9989 | 0.0069 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.13.0+cpu
- Datasets 2.12.0
- Tokenizers 0.13.2
- Task
- Audio Classification
- Library
- transformers
- Type
- unispeech-sat
- Created
- May 6, 2023
- Updated
- May 6, 2023