metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
datasets:
- minds14
metrics:
- accuracy
model-index:
- name: intent_classify
results:
- task:
name: Audio Classification
type: audio-classification
dataset:
name: minds14
type: minds14
config: en-US
split: train
args: en-US
metrics:
- name: Accuracy
type: accuracy
value: 0.061946902654867256
intent_classify
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 2.9667
- Accuracy: 0.0619
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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 8 | 2.6411 | 0.0531 |
| 2.6401 | 2.0 | 16 | 2.6450 | 0.0796 |
| 2.6384 | 3.0 | 24 | 2.6433 | 0.0885 |
| 2.629 | 4.0 | 32 | 2.6476 | 0.0973 |
| 2.6152 | 5.0 | 40 | 2.6515 | 0.0708 |
| 2.6152 | 6.0 | 48 | 2.6608 | 0.0796 |
| 2.624 | 7.0 | 56 | 2.6489 | 0.0885 |
| 2.6073 | 8.0 | 64 | 2.6574 | 0.0885 |
| 2.6283 | 9.0 | 72 | 2.6676 | 0.0885 |
| 2.6367 | 10.0 | 80 | 2.6629 | 0.1062 |
| 2.6367 | 11.0 | 88 | 2.6826 | 0.0619 |
| 2.6519 | 12.0 | 96 | 2.6891 | 0.0796 |
| 2.6147 | 13.0 | 104 | 2.6671 | 0.0885 |
| 2.6446 | 14.0 | 112 | 2.6793 | 0.0531 |
| 2.6073 | 15.0 | 120 | 2.6747 | 0.0973 |
| 2.6073 | 16.0 | 128 | 2.6742 | 0.0885 |
| 2.6152 | 17.0 | 136 | 2.6859 | 0.0619 |
| 2.5996 | 18.0 | 144 | 2.6825 | 0.0796 |
| 2.5914 | 19.0 | 152 | 2.6995 | 0.0531 |
| 2.5682 | 20.0 | 160 | 2.7113 | 0.0265 |
| 2.5682 | 21.0 | 168 | 2.7206 | 0.0177 |
| 2.5583 | 22.0 | 176 | 2.7468 | 0.0177 |
| 2.6098 | 23.0 | 184 | 2.6987 | 0.0442 |
| 2.589 | 24.0 | 192 | 2.7190 | 0.0442 |
| 2.5795 | 25.0 | 200 | 2.7195 | 0.0354 |
| 2.5795 | 26.0 | 208 | 2.7144 | 0.0354 |
| 2.568 | 27.0 | 216 | 2.7142 | 0.0354 |
| 2.5687 | 28.0 | 224 | 2.7118 | 0.0354 |
| 2.5373 | 29.0 | 232 | 2.7156 | 0.0354 |
| 2.5243 | 30.0 | 240 | 2.6922 | 0.0531 |
| 2.5243 | 31.0 | 248 | 2.7126 | 0.0354 |
| 2.5149 | 32.0 | 256 | 2.6940 | 0.0708 |
| 2.4702 | 33.0 | 264 | 2.7290 | 0.0619 |
| 2.4833 | 34.0 | 272 | 2.7018 | 0.0796 |
| 2.5336 | 35.0 | 280 | 2.7066 | 0.1062 |
| 2.5336 | 36.0 | 288 | 2.7329 | 0.0619 |
| 2.4231 | 37.0 | 296 | 2.7389 | 0.0796 |
| 2.4456 | 38.0 | 304 | 2.7363 | 0.0708 |
| 2.399 | 39.0 | 312 | 2.7784 | 0.0531 |
| 2.3635 | 40.0 | 320 | 2.7768 | 0.0619 |
| 2.3635 | 41.0 | 328 | 2.7784 | 0.0619 |
| 2.3811 | 42.0 | 336 | 2.8004 | 0.0442 |
| 2.3691 | 43.0 | 344 | 2.8027 | 0.0354 |
| 2.3364 | 44.0 | 352 | 2.8166 | 0.0531 |
| 2.3292 | 45.0 | 360 | 2.7552 | 0.0354 |
| 2.3292 | 46.0 | 368 | 2.8285 | 0.0708 |
| 2.3064 | 47.0 | 376 | 2.7767 | 0.0531 |
| 2.3147 | 48.0 | 384 | 2.8083 | 0.0708 |
| 2.2832 | 49.0 | 392 | 2.7821 | 0.0354 |
| 2.2589 | 50.0 | 400 | 2.8147 | 0.0619 |
| 2.2589 | 51.0 | 408 | 2.8060 | 0.0442 |
| 2.23 | 52.0 | 416 | 2.8122 | 0.0796 |
| 2.1835 | 53.0 | 424 | 2.7886 | 0.0354 |
| 2.1812 | 54.0 | 432 | 2.8150 | 0.0708 |
| 2.1668 | 55.0 | 440 | 2.8060 | 0.0354 |
| 2.1668 | 56.0 | 448 | 2.8396 | 0.0531 |
| 2.2083 | 57.0 | 456 | 2.8308 | 0.0531 |
| 2.1448 | 58.0 | 464 | 2.8556 | 0.0619 |
| 2.1109 | 59.0 | 472 | 2.8784 | 0.0531 |
| 2.1245 | 60.0 | 480 | 2.8372 | 0.0973 |
| 2.1245 | 61.0 | 488 | 2.8940 | 0.0531 |
| 2.1279 | 62.0 | 496 | 2.8695 | 0.0531 |
| 2.1177 | 63.0 | 504 | 2.8642 | 0.0619 |
| 2.0685 | 64.0 | 512 | 2.8962 | 0.0531 |
| 2.0757 | 65.0 | 520 | 2.8731 | 0.0619 |
| 2.0757 | 66.0 | 528 | 2.8732 | 0.0442 |
| 2.0519 | 67.0 | 536 | 2.8754 | 0.0619 |
| 2.0341 | 68.0 | 544 | 2.8601 | 0.0265 |
| 1.9865 | 69.0 | 552 | 2.8827 | 0.0354 |
| 1.9988 | 70.0 | 560 | 2.8722 | 0.0354 |
| 1.9988 | 71.0 | 568 | 2.8860 | 0.0442 |
| 1.9394 | 72.0 | 576 | 2.8964 | 0.0619 |
| 1.9738 | 73.0 | 584 | 2.9115 | 0.0531 |
| 1.9294 | 74.0 | 592 | 2.8902 | 0.0442 |
| 2.0398 | 75.0 | 600 | 2.9194 | 0.0442 |
| 2.0398 | 76.0 | 608 | 2.9076 | 0.0442 |
| 1.9132 | 77.0 | 616 | 2.9090 | 0.0442 |
| 1.9075 | 78.0 | 624 | 2.9123 | 0.0354 |
| 1.8459 | 79.0 | 632 | 2.8820 | 0.0796 |
| 1.8403 | 80.0 | 640 | 2.9302 | 0.0354 |
| 1.8403 | 81.0 | 648 | 2.9144 | 0.0442 |
| 1.8134 | 82.0 | 656 | 2.9469 | 0.0442 |
| 1.864 | 83.0 | 664 | 2.9130 | 0.0619 |
| 1.9393 | 84.0 | 672 | 2.9611 | 0.0442 |
| 1.8118 | 85.0 | 680 | 2.9452 | 0.0442 |
| 1.8118 | 86.0 | 688 | 2.9189 | 0.0531 |
| 1.7894 | 87.0 | 696 | 2.9656 | 0.0442 |
| 1.8494 | 88.0 | 704 | 2.9516 | 0.0531 |
| 1.8017 | 89.0 | 712 | 2.9697 | 0.0531 |
| 1.7762 | 90.0 | 720 | 2.9650 | 0.0442 |
| 1.7762 | 91.0 | 728 | 2.9629 | 0.0265 |
| 1.7945 | 92.0 | 736 | 2.9645 | 0.0531 |
| 1.7806 | 93.0 | 744 | 2.9770 | 0.0442 |
| 1.7281 | 94.0 | 752 | 2.9544 | 0.0619 |
| 1.7852 | 95.0 | 760 | 2.9526 | 0.0619 |
| 1.7852 | 96.0 | 768 | 2.9557 | 0.0619 |
| 1.7811 | 97.0 | 776 | 2.9538 | 0.0619 |
| 1.7604 | 98.0 | 784 | 2.9635 | 0.0619 |
| 1.7572 | 99.0 | 792 | 2.9681 | 0.0619 |
| 1.7211 | 100.0 | 800 | 2.9667 | 0.0619 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.12.0
- Tokenizers 0.13.2