README.md

---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: ft_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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# ft_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: 1.4818
- Wer: 40.2628
- Cer: 18.6678

## 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: 5000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
| 3.2787        | 22.73  | 1000 | 1.1585          | 59.3958 | 25.8494 |
| 0.4164        | 45.45  | 2000 | 1.2611          | 44.7175 | 20.5846 |
| 0.144         | 68.18  | 3000 | 1.3470          | 42.6865 | 19.8831 |
| 0.0774        | 90.91  | 4000 | 1.4210          | 41.7307 | 19.1922 |
| 0.05          | 113.64 | 5000 | 1.4818          | 40.2628 | 18.6678 |


### Framework versions

- Transformers 4.39.3
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.15.2