---
tags:
- generated_from_trainer
model-index:
- name: pseudolabeling-step2-F04
  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. -->

# pseudolabeling-step2-F04

This model is a fine-tuned version of [yip-i/wav2vec2-pretrain-demo](https://huggingface.co/yip-i/wav2vec2-pretrain-demo) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.2502
- Wer: 1.0

## 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: 0.0001
- train_batch_size: 16
- 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_steps: 1000
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 74.4163       | 3.36  | 500  | 3.6878          | 1.0    |
| 3.3612        | 6.71  | 1000 | 3.5619          | 1.0    |
| 3.3127        | 10.07 | 1500 | 3.5773          | 1.0    |
| 3.2104        | 13.42 | 2000 | 3.5299          | 1.0    |
| 3.2067        | 16.78 | 2500 | 3.5704          | 0.9922 |
| 3.1511        | 20.13 | 3000 | 4.3842          | 1.0    |
| 3.0825        | 23.49 | 3500 | 4.2644          | 1.0    |
| 3.0959        | 26.85 | 4000 | 5.2502          | 1.0    |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 1.18.3
- Tokenizers 0.13.2