metadata
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
datasets:
- superb
metrics:
- accuracy
model-index:
- name: sew-mid-100k-ft-keyword-spotting
results: []
sew-mid-100k-ft-keyword-spotting
This model is a fine-tuned version of asapp/sew-mid-100k on the superb dataset. It achieves the following results on the evaluation set:
- Loss: 0.0975
- Accuracy: 0.9757
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: 0
- 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: 5.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5999 | 1.0 | 399 | 0.2262 | 0.9635 |
| 0.4271 | 2.0 | 798 | 0.1230 | 0.9697 |
| 0.3778 | 3.0 | 1197 | 0.1052 | 0.9731 |
| 0.3227 | 4.0 | 1596 | 0.0975 | 0.9757 |
| 0.3081 | 5.0 | 1995 | 0.0962 | 0.9753 |
Framework versions
- Transformers 4.12.0.dev0
- Pytorch 1.9.1+cu111
- Datasets 1.14.0
- Tokenizers 0.10.3