---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: finetune_wav2vec2_base_six_1000
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetune_wav2vec2_base_six_1000

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: 1.3205
- Wer: 64.2346
- Cer: 28.5983

## 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: 4500

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:|
| 3.3064        | 18.5185 | 1000 | 1.2395          | 61.2364 | 27.0612 |
| 0.4719        | 37.0370 | 2000 | 1.1869          | 43.9153 | 20.5975 |
| 0.1675        | 55.5556 | 3000 | 1.2026          | 41.3812 | 19.3565 |
| 0.0898        | 74.0741 | 4000 | 1.2615          | 39.3484 | 18.3855 |


### Framework versions

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