---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: revised_ft_wav2vec2_base_six_500
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# revised_ft_wav2vec2_base_six_500

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: 2.9206
- Wer: 100.0
- Cer: 99.9853

## 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
- num_epochs: 50

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:|
| 4.2117        | 11.3636 | 500  | 2.9404          | 100.0   | 99.9283 |
| 2.4735        | 22.7273 | 1000 | 1.3017          | 66.1384 | 30.0075 |
| 0.6303        | 34.0909 | 1500 | 1.1357          | 49.3524 | 22.2609 |
| 0.2796        | 45.4545 | 2000 | 1.2368          | 45.0409 | 21.3033 |


### Framework versions

- Transformers 4.40.1
- Pytorch 1.12.1+cu116
- Datasets 2.19.0
- Tokenizers 0.19.1