---
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: finetune_wav2vec2_960h_six
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetune_wav2vec2_960h_six

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: 0.7147
- Wer: 31.6162
- Cer: 15.8883

## 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     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:|
| 0.9942        | 18.5185 | 1000 | 0.7147          | 31.6162 | 15.8883 |
| 0.5163        | 37.0370 | 2000 | 0.7961          | 31.2892 | 15.4668 |
| 0.3093        | 55.5556 | 3000 | 0.9768          | 30.9894 | 15.2757 |
| 0.2142        | 74.0741 | 4000 | 1.0128          | 29.0270 | 14.6912 |


### Framework versions

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