---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-finetuned-ie
  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-finetuned-ie

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0843
- Accuracy: 0.6511

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1746        | 1.0   | 102  | 1.1532          | 0.4811   |
| 0.9955        | 2.0   | 204  | 1.0070          | 0.5761   |
| 0.8048        | 3.0   | 306  | 0.9764          | 0.6052   |
| 0.5933        | 4.0   | 408  | 1.1020          | 0.5975   |
| 0.4987        | 5.0   | 510  | 1.1877          | 0.5984   |
| 0.401         | 6.0   | 612  | 1.1034          | 0.6334   |
| 0.3613        | 7.0   | 714  | 1.0424          | 0.6780   |
| 0.2304        | 8.0   | 816  | 1.1990          | 0.6673   |
| 0.2553        | 9.0   | 918  | 1.2547          | 0.6605   |
| 0.1737        | 10.0  | 1020 | 1.5981          | 0.6149   |
| 0.1438        | 11.0  | 1122 | 1.4178          | 0.6770   |
| 0.0917        | 12.0  | 1224 | 1.6137          | 0.6576   |
| 0.0446        | 13.0  | 1326 | 1.7111          | 0.6557   |
| 0.0397        | 14.0  | 1428 | 1.7771          | 0.6392   |
| 0.0169        | 15.0  | 1530 | 1.7484          | 0.6508   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0