---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-intent-classification-ori-f1
  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-f1

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: 0.7879
- Accuracy: 0.8125

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.1936        | 1.0   | 28   | 2.1721          | 0.2708   |
| 2.1251        | 2.0   | 56   | 2.1119          | 0.2708   |
| 2.1113        | 3.0   | 84   | 2.0547          | 0.2708   |
| 1.9978        | 4.0   | 112  | 2.0695          | 0.3125   |
| 1.9134        | 5.0   | 140  | 1.7726          | 0.5      |
| 1.6926        | 6.0   | 168  | 1.6564          | 0.4167   |
| 1.7755        | 7.0   | 196  | 1.5987          | 0.4375   |
| 1.5199        | 8.0   | 224  | 1.5848          | 0.3958   |
| 1.2484        | 9.0   | 252  | 1.5180          | 0.5      |
| 1.114         | 10.0  | 280  | 1.5078          | 0.4375   |
| 1.281         | 11.0  | 308  | 1.3506          | 0.4792   |
| 1.2449        | 12.0  | 336  | 1.2551          | 0.5208   |
| 1.1664        | 13.0  | 364  | 1.6051          | 0.4792   |
| 0.9792        | 14.0  | 392  | 1.2325          | 0.5417   |
| 0.8464        | 15.0  | 420  | 1.1644          | 0.4583   |
| 0.6899        | 16.0  | 448  | 1.0157          | 0.7083   |
| 0.6696        | 17.0  | 476  | 1.1179          | 0.6042   |
| 0.7003        | 18.0  | 504  | 1.0003          | 0.625    |
| 0.5867        | 19.0  | 532  | 0.8064          | 0.7292   |
| 0.539         | 20.0  | 560  | 0.8617          | 0.6875   |
| 0.5039        | 21.0  | 588  | 1.0144          | 0.6458   |
| 0.4377        | 22.0  | 616  | 0.8810          | 0.6458   |
| 0.4507        | 23.0  | 644  | 0.8612          | 0.7292   |
| 0.274         | 24.0  | 672  | 0.8041          | 0.7083   |
| 0.3679        | 25.0  | 700  | 0.9090          | 0.6667   |
| 0.2737        | 26.0  | 728  | 0.7768          | 0.75     |
| 0.2019        | 27.0  | 756  | 0.7486          | 0.7708   |
| 0.1841        | 28.0  | 784  | 0.9169          | 0.75     |
| 0.1237        | 29.0  | 812  | 0.6935          | 0.7917   |
| 0.1174        | 30.0  | 840  | 0.7879          | 0.8125   |
| 0.1159        | 31.0  | 868  | 0.7981          | 0.7917   |
| 0.0878        | 32.0  | 896  | 0.8157          | 0.7917   |
| 0.0884        | 33.0  | 924  | 0.8122          | 0.7708   |
| 0.0627        | 34.0  | 952  | 0.8276          | 0.7917   |
| 0.0549        | 35.0  | 980  | 0.8650          | 0.7708   |
| 0.0565        | 36.0  | 1008 | 0.8582          | 0.7708   |
| 0.0533        | 37.0  | 1036 | 0.9108          | 0.7708   |
| 0.0439        | 38.0  | 1064 | 0.9221          | 0.7708   |
| 0.0435        | 39.0  | 1092 | 0.8844          | 0.7708   |
| 0.0517        | 40.0  | 1120 | 0.8865          | 0.7708   |
| 0.0411        | 41.0  | 1148 | 0.9118          | 0.7708   |
| 0.045         | 42.0  | 1176 | 0.9109          | 0.7708   |
| 0.0455        | 43.0  | 1204 | 0.9194          | 0.7708   |
| 0.0435        | 44.0  | 1232 | 0.9221          | 0.7708   |
| 0.0422        | 45.0  | 1260 | 0.9215          | 0.7708   |


### Framework versions

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