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0-9up-unispeech-sat-base-ft
mazkooleg/0-9up-unispeech-sat-base-ft
0-9up-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
- Mar 18, 2023
- Updated
- Mar 18, 2023
- SHA
- 37e0f701
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-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: 0.0123
- Accuracy: 0.9979
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: 5
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.0916 | 1.0 | 8558 | 0.9958 | 0.0174 |
| 0.0592 | 2.0 | 17116 | 0.9979 | 0.0123 |
| 0.0725 | 3.0 | 25674 | 0.9958 | 0.0196 |
| 0.0585 | 4.0 | 34232 | 0.9955 | 0.0213 |
| 0.0472 | 5.0 | 42790 | 0.9958 | 0.0212 |
Framework versions
- Transformers 4.27.1
- Pytorch 1.11.0
- Datasets 2.10.1
- Tokenizers 0.12.1
- Task
- Audio Classification
- Library
- transformers
- Type
- unispeech-sat
- Created
- Mar 18, 2023
- Updated
- Mar 18, 2023