---
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: 0.07058823529411765
---

<!-- 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. -->

# intent_classify

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co./facebook/wav2vec2-base) on the minds14 dataset.
It achieves the following results on the evaluation set:
- Loss: 7.7654
- Accuracy: 0.0706

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.6382        | 1.0   | 15   | 2.6424          | 0.1059   |
| 2.6403        | 2.0   | 30   | 2.6453          | 0.0706   |
| 2.6356        | 3.0   | 45   | 2.6431          | 0.0471   |
| 2.6339        | 4.0   | 60   | 2.6444          | 0.0471   |
| 2.6314        | 5.0   | 75   | 2.6529          | 0.0471   |
| 2.6296        | 6.0   | 90   | 2.6488          | 0.0588   |
| 2.6242        | 7.0   | 105  | 2.6569          | 0.0824   |
| 2.6215        | 8.0   | 120  | 2.6629          | 0.0353   |
| 2.6134        | 9.0   | 135  | 2.6670          | 0.0588   |
| 2.611         | 10.0  | 150  | 2.6836          | 0.0235   |
| 2.5978        | 11.0  | 165  | 2.6735          | 0.0706   |
| 2.5974        | 12.0  | 180  | 2.6879          | 0.0235   |
| 2.5974        | 13.0  | 195  | 2.6895          | 0.0471   |
| 2.5914        | 14.0  | 210  | 2.7066          | 0.0235   |
| 2.5677        | 15.0  | 225  | 2.7058          | 0.0353   |
| 2.567         | 16.0  | 240  | 2.7118          | 0.0471   |
| 2.5579        | 17.0  | 255  | 2.7248          | 0.0471   |
| 2.559         | 18.0  | 270  | 2.6907          | 0.0353   |
| 2.5335        | 19.0  | 285  | 2.7091          | 0.0706   |
| 2.5327        | 20.0  | 300  | 2.7387          | 0.0824   |
| 2.499         | 21.0  | 315  | 2.7275          | 0.0235   |
| 2.4624        | 22.0  | 330  | 2.7613          | 0.0706   |
| 2.4557        | 23.0  | 345  | 2.7961          | 0.0235   |
| 2.4194        | 24.0  | 360  | 2.8100          | 0.0235   |
| 2.4061        | 25.0  | 375  | 2.7907          | 0.0706   |
| 2.3704        | 26.0  | 390  | 2.8218          | 0.0588   |
| 2.3319        | 27.0  | 405  | 2.8153          | 0.0353   |
| 2.3214        | 28.0  | 420  | 2.8860          | 0.0824   |
| 2.3314        | 29.0  | 435  | 2.8715          | 0.0706   |
| 2.2418        | 30.0  | 450  | 2.8179          | 0.0588   |
| 2.2144        | 31.0  | 465  | 2.8949          | 0.0471   |
| 2.2343        | 32.0  | 480  | 2.8831          | 0.0706   |
| 2.1429        | 33.0  | 495  | 2.9078          | 0.0235   |
| 2.1252        | 34.0  | 510  | 2.8757          | 0.0824   |
| 2.0381        | 35.0  | 525  | 2.8561          | 0.0706   |
| 1.9718        | 36.0  | 540  | 2.9334          | 0.0235   |
| 1.9676        | 37.0  | 555  | 2.9418          | 0.0353   |
| 1.9167        | 38.0  | 570  | 3.0164          | 0.0353   |
| 1.8649        | 39.0  | 585  | 2.9759          | 0.0471   |
| 1.8494        | 40.0  | 600  | 2.9568          | 0.1059   |
| 1.768         | 41.0  | 615  | 2.9746          | 0.0588   |
| 1.6931        | 42.0  | 630  | 2.9224          | 0.0588   |
| 1.7221        | 43.0  | 645  | 2.9451          | 0.0941   |
| 1.6963        | 44.0  | 660  | 3.0814          | 0.0824   |
| 1.6515        | 45.0  | 675  | 2.9779          | 0.0941   |
| 1.5451        | 46.0  | 690  | 3.1134          | 0.1059   |
| 1.4958        | 47.0  | 705  | 2.9865          | 0.0824   |
| 1.432         | 48.0  | 720  | 3.1357          | 0.0588   |
| 1.4167        | 49.0  | 735  | 3.2270          | 0.0824   |
| 1.3876        | 50.0  | 750  | 3.2101          | 0.0353   |
| 1.3323        | 51.0  | 765  | 3.1803          | 0.0824   |
| 1.2767        | 52.0  | 780  | 3.2781          | 0.0353   |
| 1.3037        | 53.0  | 795  | 3.2814          | 0.0588   |
| 1.214         | 54.0  | 810  | 3.3239          | 0.0941   |
| 1.1582        | 55.0  | 825  | 3.2247          | 0.1176   |
| 1.1028        | 56.0  | 840  | 3.3801          | 0.0706   |
| 1.117         | 57.0  | 855  | 3.3110          | 0.0941   |
| 1.0498        | 58.0  | 870  | 3.3820          | 0.0588   |
| 0.9688        | 59.0  | 885  | 3.2971          | 0.0706   |
| 0.9991        | 60.0  | 900  | 3.4578          | 0.0706   |
| 0.915         | 61.0  | 915  | 3.5240          | 0.0706   |
| 0.9858        | 62.0  | 930  | 3.4743          | 0.0706   |
| 0.8826        | 63.0  | 945  | 3.4516          | 0.0588   |
| 0.8748        | 64.0  | 960  | 3.4834          | 0.0824   |
| 0.8671        | 65.0  | 975  | 3.4300          | 0.0706   |
| 0.8005        | 66.0  | 990  | 3.5403          | 0.0588   |
| 0.7662        | 67.0  | 1005 | 3.6394          | 0.0588   |
| 0.7789        | 68.0  | 1020 | 3.6355          | 0.0235   |
| 0.6816        | 69.0  | 1035 | 3.7145          | 0.0235   |
| 0.678         | 70.0  | 1050 | 3.7057          | 0.0353   |
| 0.6307        | 71.0  | 1065 | 3.6650          | 0.0588   |
| 0.6853        | 72.0  | 1080 | 3.7011          | 0.0353   |
| 0.5857        | 73.0  | 1095 | 3.6480          | 0.0706   |
| 0.5405        | 74.0  | 1110 | 3.7454          | 0.0588   |
| 0.6295        | 75.0  | 1125 | 3.6397          | 0.0824   |
| 0.5667        | 76.0  | 1140 | 3.6528          | 0.0588   |
| 0.5558        | 77.0  | 1155 | 3.8219          | 0.0471   |
| 0.4908        | 78.0  | 1170 | 3.9318          | 0.0353   |
| 0.4427        | 79.0  | 1185 | 3.8695          | 0.0471   |
| 0.4437        | 80.0  | 1200 | 4.0755          | 0.0353   |
| 0.3798        | 81.0  | 1215 | 4.0077          | 0.0353   |
| 0.477         | 82.0  | 1230 | 3.9117          | 0.0706   |
| 0.4199        | 83.0  | 1245 | 4.1337          | 0.0471   |
| 0.4037        | 84.0  | 1260 | 4.0306          | 0.0235   |
| 0.3283        | 85.0  | 1275 | 4.1248          | 0.0471   |
| 0.4361        | 86.0  | 1290 | 4.0707          | 0.0235   |
| 0.3949        | 87.0  | 1305 | 4.2368          | 0.0235   |
| 0.3577        | 88.0  | 1320 | 4.2299          | 0.0706   |
| 0.2885        | 89.0  | 1335 | 4.3665          | 0.0471   |
| 0.2737        | 90.0  | 1350 | 4.1773          | 0.0706   |
| 0.3           | 91.0  | 1365 | 4.5002          | 0.0471   |
| 0.2936        | 92.0  | 1380 | 4.5914          | 0.0235   |
| 0.3035        | 93.0  | 1395 | 4.3489          | 0.0471   |
| 0.2401        | 94.0  | 1410 | 4.3683          | 0.0706   |
| 0.1996        | 95.0  | 1425 | 4.4946          | 0.0588   |
| 0.232         | 96.0  | 1440 | 4.6429          | 0.0588   |
| 0.291         | 97.0  | 1455 | 4.5975          | 0.0353   |
| 0.2111        | 98.0  | 1470 | 4.5378          | 0.0353   |
| 0.1986        | 99.0  | 1485 | 4.5688          | 0.0471   |
| 0.2242        | 100.0 | 1500 | 4.5640          | 0.0118   |
| 0.1679        | 101.0 | 1515 | 4.7323          | 0.0588   |
| 0.1897        | 102.0 | 1530 | 4.6266          | 0.0235   |
| 0.2212        | 103.0 | 1545 | 4.8046          | 0.0706   |
| 0.2138        | 104.0 | 1560 | 4.6699          | 0.0588   |
| 0.1921        | 105.0 | 1575 | 4.7727          | 0.0235   |
| 0.1625        | 106.0 | 1590 | 4.8053          | 0.0471   |
| 0.1206        | 107.0 | 1605 | 5.0319          | 0.0588   |
| 0.1841        | 108.0 | 1620 | 4.9295          | 0.0353   |
| 0.1288        | 109.0 | 1635 | 4.9922          | 0.0588   |
| 0.1647        | 110.0 | 1650 | 5.1317          | 0.0235   |
| 0.1758        | 111.0 | 1665 | 5.1606          | 0.0353   |
| 0.1281        | 112.0 | 1680 | 5.2126          | 0.0118   |
| 0.1925        | 113.0 | 1695 | 5.1029          | 0.0471   |
| 0.1177        | 114.0 | 1710 | 5.3407          | 0.0353   |
| 0.128         | 115.0 | 1725 | 4.9612          | 0.0706   |
| 0.1078        | 116.0 | 1740 | 5.4318          | 0.0235   |
| 0.0747        | 117.0 | 1755 | 5.3757          | 0.0588   |
| 0.1359        | 118.0 | 1770 | 5.3949          | 0.0471   |
| 0.0971        | 119.0 | 1785 | 5.4532          | 0.0471   |
| 0.0671        | 120.0 | 1800 | 5.6330          | 0.0353   |
| 0.0819        | 121.0 | 1815 | 5.5617          | 0.0471   |
| 0.0892        | 122.0 | 1830 | 5.6881          | 0.0353   |
| 0.0861        | 123.0 | 1845 | 5.7083          | 0.0353   |
| 0.0649        | 124.0 | 1860 | 5.8477          | 0.0824   |
| 0.0674        | 125.0 | 1875 | 5.6822          | 0.0588   |
| 0.0788        | 126.0 | 1890 | 5.7720          | 0.0824   |
| 0.0439        | 127.0 | 1905 | 5.8210          | 0.0706   |
| 0.0586        | 128.0 | 1920 | 5.9101          | 0.0588   |
| 0.0674        | 129.0 | 1935 | 5.7681          | 0.0588   |
| 0.0563        | 130.0 | 1950 | 5.7770          | 0.0824   |
| 0.0284        | 131.0 | 1965 | 6.1912          | 0.0588   |
| 0.0717        | 132.0 | 1980 | 6.0938          | 0.0588   |
| 0.0424        | 133.0 | 1995 | 6.0714          | 0.0824   |
| 0.0768        | 134.0 | 2010 | 6.1924          | 0.0706   |
| 0.0592        | 135.0 | 2025 | 6.5515          | 0.0118   |
| 0.0217        | 136.0 | 2040 | 6.1961          | 0.0706   |
| 0.0544        | 137.0 | 2055 | 6.4168          | 0.0353   |
| 0.0417        | 138.0 | 2070 | 6.4916          | 0.0588   |
| 0.0339        | 139.0 | 2085 | 6.6678          | 0.0235   |
| 0.0208        | 140.0 | 2100 | 6.4968          | 0.0588   |
| 0.0436        | 141.0 | 2115 | 6.5245          | 0.0588   |
| 0.033         | 142.0 | 2130 | 6.6816          | 0.0706   |
| 0.037         | 143.0 | 2145 | 6.3041          | 0.0824   |
| 0.0132        | 144.0 | 2160 | 6.6597          | 0.0588   |
| 0.0484        | 145.0 | 2175 | 6.6440          | 0.0824   |
| 0.0264        | 146.0 | 2190 | 6.7801          | 0.0353   |
| 0.0115        | 147.0 | 2205 | 6.7156          | 0.0471   |
| 0.027         | 148.0 | 2220 | 6.7250          | 0.0706   |
| 0.0394        | 149.0 | 2235 | 6.8474          | 0.0706   |
| 0.0113        | 150.0 | 2250 | 6.8180          | 0.0824   |
| 0.0157        | 151.0 | 2265 | 6.8688          | 0.0824   |
| 0.0385        | 152.0 | 2280 | 6.8874          | 0.0824   |
| 0.0224        | 153.0 | 2295 | 7.0014          | 0.0706   |
| 0.0522        | 154.0 | 2310 | 7.1680          | 0.0706   |
| 0.0099        | 155.0 | 2325 | 7.1595          | 0.0471   |
| 0.01          | 156.0 | 2340 | 7.1259          | 0.0471   |
| 0.0144        | 157.0 | 2355 | 7.1538          | 0.0471   |
| 0.0175        | 158.0 | 2370 | 7.0335          | 0.0706   |
| 0.008         | 159.0 | 2385 | 7.0295          | 0.0588   |
| 0.0311        | 160.0 | 2400 | 7.1288          | 0.0706   |
| 0.0416        | 161.0 | 2415 | 7.1012          | 0.0471   |
| 0.0333        | 162.0 | 2430 | 7.3391          | 0.0588   |
| 0.0241        | 163.0 | 2445 | 7.2666          | 0.0588   |
| 0.0068        | 164.0 | 2460 | 7.1324          | 0.0706   |
| 0.0194        | 165.0 | 2475 | 7.1494          | 0.0824   |
| 0.0089        | 166.0 | 2490 | 7.2136          | 0.0824   |
| 0.0071        | 167.0 | 2505 | 7.2442          | 0.0706   |
| 0.0174        | 168.0 | 2520 | 7.3070          | 0.0588   |
| 0.0056        | 169.0 | 2535 | 7.3370          | 0.0588   |
| 0.0054        | 170.0 | 2550 | 7.3814          | 0.0588   |
| 0.0087        | 171.0 | 2565 | 7.3903          | 0.0588   |
| 0.0052        | 172.0 | 2580 | 7.4102          | 0.0588   |
| 0.0255        | 173.0 | 2595 | 7.3886          | 0.0588   |
| 0.0056        | 174.0 | 2610 | 7.4785          | 0.0588   |
| 0.005         | 175.0 | 2625 | 7.5349          | 0.0588   |
| 0.0078        | 176.0 | 2640 | 7.5136          | 0.0588   |
| 0.0214        | 177.0 | 2655 | 7.5146          | 0.0706   |
| 0.0827        | 178.0 | 2670 | 7.5079          | 0.0706   |
| 0.0046        | 179.0 | 2685 | 7.5157          | 0.0941   |
| 0.0098        | 180.0 | 2700 | 7.5161          | 0.0941   |
| 0.0049        | 181.0 | 2715 | 7.5169          | 0.0824   |
| 0.0063        | 182.0 | 2730 | 7.5643          | 0.0824   |
| 0.0147        | 183.0 | 2745 | 7.6032          | 0.0824   |
| 0.0279        | 184.0 | 2760 | 7.6901          | 0.0706   |
| 0.0044        | 185.0 | 2775 | 7.7511          | 0.0706   |
| 0.0106        | 186.0 | 2790 | 7.6778          | 0.0588   |
| 0.0042        | 187.0 | 2805 | 7.6374          | 0.0588   |
| 0.0043        | 188.0 | 2820 | 7.6470          | 0.0706   |
| 0.0279        | 189.0 | 2835 | 7.6876          | 0.0706   |
| 0.0089        | 190.0 | 2850 | 7.6849          | 0.0706   |
| 0.0128        | 191.0 | 2865 | 7.6929          | 0.0706   |
| 0.0046        | 192.0 | 2880 | 7.6891          | 0.0706   |
| 0.0041        | 193.0 | 2895 | 7.7036          | 0.0706   |
| 0.0215        | 194.0 | 2910 | 7.7134          | 0.0706   |
| 0.0041        | 195.0 | 2925 | 7.7340          | 0.0706   |
| 0.0041        | 196.0 | 2940 | 7.7637          | 0.0706   |
| 0.0278        | 197.0 | 2955 | 7.7695          | 0.0706   |
| 0.004         | 198.0 | 2970 | 7.7673          | 0.0706   |
| 0.0039        | 199.0 | 2985 | 7.7663          | 0.0706   |
| 0.01          | 200.0 | 3000 | 7.7654          | 0.0706   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.12.0
- Tokenizers 0.13.2