metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: muk-luganda-digits-classification
results: []
muk-luganda-digits-classification
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1383
- Accuracy: 0.4118
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: 4
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.3979 | 1.0 | 68 | 2.3931 | 0.1176 |
| 2.3557 | 2.0 | 136 | 2.3405 | 0.1765 |
| 2.2886 | 3.0 | 204 | 2.3076 | 0.2353 |
| 2.2136 | 4.0 | 272 | 2.2603 | 0.1471 |
| 2.1519 | 5.0 | 340 | 2.2511 | 0.2059 |
| 2.0177 | 6.0 | 408 | 2.1587 | 0.2353 |
| 1.9045 | 7.0 | 476 | 2.2249 | 0.3529 |
| 1.763 | 8.0 | 544 | 2.2783 | 0.2647 |
| 1.6427 | 9.0 | 612 | 2.0562 | 0.3824 |
| 1.5392 | 10.0 | 680 | 2.0552 | 0.3529 |
| 1.3602 | 11.0 | 748 | 1.9803 | 0.3529 |
| 1.3406 | 12.0 | 816 | 1.9426 | 0.4412 |
| 1.2032 | 13.0 | 884 | 2.0370 | 0.3529 |
| 1.0842 | 14.0 | 952 | 1.9971 | 0.5 |
| 1.0615 | 15.0 | 1020 | 1.8678 | 0.4412 |
| 0.9674 | 16.0 | 1088 | 1.8230 | 0.4706 |
| 0.808 | 17.0 | 1156 | 1.9590 | 0.4412 |
| 0.7434 | 18.0 | 1224 | 2.0104 | 0.4412 |
| 0.6936 | 19.0 | 1292 | 2.1243 | 0.4118 |
| 0.5685 | 20.0 | 1360 | 1.9530 | 0.4706 |
| 0.5631 | 21.0 | 1428 | 2.0039 | 0.4118 |
| 0.4919 | 22.0 | 1496 | 2.3431 | 0.4118 |
| 0.4903 | 23.0 | 1564 | 2.5384 | 0.4412 |
| 0.4504 | 24.0 | 1632 | 2.3131 | 0.4412 |
| 0.361 | 25.0 | 1700 | 2.6200 | 0.3824 |
| 0.3683 | 26.0 | 1768 | 2.6182 | 0.4118 |
| 0.3205 | 27.0 | 1836 | 2.5689 | 0.4412 |
| 0.2389 | 28.0 | 1904 | 2.6241 | 0.4706 |
| 0.1786 | 29.0 | 1972 | 2.7555 | 0.4412 |
| 0.1627 | 30.0 | 2040 | 2.6370 | 0.5 |
| 0.1764 | 31.0 | 2108 | 3.3250 | 0.3529 |
| 0.2364 | 32.0 | 2176 | 2.9069 | 0.4412 |
| 0.1772 | 33.0 | 2244 | 2.9289 | 0.4118 |
| 0.1929 | 34.0 | 2312 | 3.1186 | 0.4118 |
| 0.2075 | 35.0 | 2380 | 3.1905 | 0.4118 |
| 0.1517 | 36.0 | 2448 | 3.0900 | 0.4118 |
| 0.149 | 37.0 | 2516 | 3.1103 | 0.3824 |
| 0.1156 | 38.0 | 2584 | 3.1738 | 0.4412 |
| 0.2291 | 39.0 | 2652 | 3.1478 | 0.4412 |
| 0.1768 | 40.0 | 2720 | 3.1383 | 0.4118 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1