metadata
tags:
- generated_from_trainer
datasets:
- superb
metrics:
- accuracy
model-index:
- name: trillsson3-ft-keyword-spotting-13
results: []
trillsson3-ft-keyword-spotting-13
This model is a fine-tuned version of vumichien/nonsemantic-speech-trillsson3 on the superb dataset. It achieves the following results on the evaluation set:
- Loss: 0.3115
- Accuracy: 0.9100
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 32
- seed: 0
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7756 | 1.0 | 798 | 0.9283 | 0.6396 |
| 0.8631 | 2.0 | 1596 | 0.4884 | 0.8573 |
| 0.7551 | 3.0 | 2394 | 0.3967 | 0.8832 |
| 0.6968 | 4.0 | 3192 | 0.3644 | 0.8989 |
| 0.67 | 5.0 | 3990 | 0.3428 | 0.9057 |
| 0.6854 | 6.0 | 4788 | 0.3408 | 0.9026 |
| 0.6701 | 7.0 | 5586 | 0.3359 | 0.9013 |
| 0.6734 | 8.0 | 6384 | 0.3285 | 0.9059 |
| 0.6581 | 9.0 | 7182 | 0.3199 | 0.9095 |
| 0.6557 | 10.0 | 7980 | 0.3301 | 0.8986 |
| 0.6768 | 11.0 | 8778 | 0.3174 | 0.9047 |
| 0.6459 | 12.0 | 9576 | 0.3192 | 0.9031 |
| 0.6607 | 13.0 | 10374 | 0.3173 | 0.9066 |
| 0.656 | 14.0 | 11172 | 0.3142 | 0.9094 |
| 0.6302 | 15.0 | 11970 | 0.3093 | 0.9153 |
| 0.636 | 16.0 | 12768 | 0.3184 | 0.9044 |
| 0.6327 | 17.0 | 13566 | 0.3104 | 0.9117 |
| 0.6428 | 18.0 | 14364 | 0.3158 | 0.9084 |
| 0.6515 | 19.0 | 15162 | 0.3129 | 0.9097 |
| 0.6441 | 20.0 | 15960 | 0.3115 | 0.9100 |
Framework versions
- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1