---
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: finetune_wav2vec2_960h_six_second
  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. -->

# finetune_wav2vec2_960h_six_second

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8664
- Wer: 34.7919
- Cer: 18.1492

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 10000

### Training results

| Training Loss | Epoch    | Step  | Validation Loss | Wer     | Cer     |
|:-------------:|:--------:|:-----:|:---------------:|:-------:|:-------:|
| 0.9855        | 18.5185  | 1000  | 0.8664          | 34.7919 | 18.1492 |
| 0.5055        | 37.0370  | 2000  | 0.9980          | 34.5251 | 18.1828 |
| 0.3066        | 55.5556  | 3000  | 1.0063          | 33.3511 | 17.2474 |
| 0.2186        | 74.0741  | 4000  | 1.1086          | 32.3372 | 16.9617 |
| 0.1628        | 92.5926  | 5000  | 1.1707          | 31.4835 | 16.5416 |
| 0.1362        | 111.1111 | 6000  | 1.1494          | 31.2700 | 16.4351 |
| 0.1069        | 129.6296 | 7000  | 1.2482          | 31.8837 | 16.4295 |
| 0.1004        | 148.1481 | 8000  | 1.3189          | 31.5635 | 16.9393 |
| 0.0851        | 166.6667 | 9000  | 1.3079          | 30.8965 | 16.3343 |
| 0.0794        | 185.1852 | 10000 | 1.3297          | 30.8698 | 16.1214 |


### Framework versions

- Transformers 4.40.2
- Pytorch 1.12.1+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1