---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-intent-classification-ori
  results: []
---

<!-- 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. -->

# wav2vec2-base-intent-classification-ori

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6214
- Accuracy: 0.8542

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 45

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.1969        | 1.0   | 28   | 2.1823          | 0.1667   |
| 2.1258        | 2.0   | 56   | 2.1160          | 0.2708   |
| 2.1138        | 3.0   | 84   | 2.1125          | 0.3125   |
| 2.038         | 4.0   | 112  | 2.0132          | 0.2708   |
| 2.0267        | 5.0   | 140  | 2.0051          | 0.3333   |
| 1.8788        | 6.0   | 168  | 1.8372          | 0.4167   |
| 1.8875        | 7.0   | 196  | 1.9644          | 0.2917   |
| 1.7334        | 8.0   | 224  | 1.5419          | 0.5625   |
| 1.3128        | 9.0   | 252  | 1.5499          | 0.4792   |
| 1.1863        | 10.0  | 280  | 1.4967          | 0.4792   |
| 1.2418        | 11.0  | 308  | 1.3421          | 0.5625   |
| 1.2286        | 12.0  | 336  | 1.1493          | 0.5625   |
| 1.087         | 13.0  | 364  | 1.2001          | 0.5625   |
| 0.7581        | 14.0  | 392  | 1.2114          | 0.6042   |
| 0.7801        | 15.0  | 420  | 0.8873          | 0.7292   |
| 0.6041        | 16.0  | 448  | 1.0526          | 0.75     |
| 0.4093        | 17.0  | 476  | 0.8694          | 0.6875   |
| 0.36          | 18.0  | 504  | 0.6712          | 0.7917   |
| 0.3617        | 19.0  | 532  | 0.7221          | 0.7708   |
| 0.2808        | 20.0  | 560  | 0.5851          | 0.8333   |
| 0.192         | 21.0  | 588  | 0.5821          | 0.8125   |
| 0.1924        | 22.0  | 616  | 0.5993          | 0.7917   |
| 0.3129        | 23.0  | 644  | 0.6615          | 0.7708   |
| 0.1542        | 24.0  | 672  | 0.8268          | 0.7292   |
| 0.1038        | 25.0  | 700  | 0.4629          | 0.875    |
| 0.0749        | 26.0  | 728  | 0.5098          | 0.8542   |
| 0.043         | 27.0  | 756  | 0.5493          | 0.8333   |
| 0.0521        | 28.0  | 784  | 0.5119          | 0.8542   |
| 0.0411        | 29.0  | 812  | 0.5280          | 0.875    |
| 0.04          | 30.0  | 840  | 0.5243          | 0.875    |
| 0.0341        | 31.0  | 868  | 0.5478          | 0.875    |
| 0.0313        | 32.0  | 896  | 0.5489          | 0.875    |
| 0.0271        | 33.0  | 924  | 0.5563          | 0.875    |
| 0.0261        | 34.0  | 952  | 0.5735          | 0.875    |
| 0.0223        | 35.0  | 980  | 0.5748          | 0.8542   |
| 0.0235        | 36.0  | 1008 | 0.6004          | 0.8542   |
| 0.0229        | 37.0  | 1036 | 0.6360          | 0.8542   |
| 0.0935        | 38.0  | 1064 | 0.6190          | 0.8542   |
| 0.0215        | 39.0  | 1092 | 0.6138          | 0.8542   |
| 0.0237        | 40.0  | 1120 | 0.6231          | 0.8542   |
| 0.0219        | 41.0  | 1148 | 0.6197          | 0.8542   |
| 0.0236        | 42.0  | 1176 | 0.6207          | 0.8542   |
| 0.021         | 43.0  | 1204 | 0.6189          | 0.8542   |
| 0.021         | 44.0  | 1232 | 0.6204          | 0.8542   |
| 0.0217        | 45.0  | 1260 | 0.6214          | 0.8542   |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1