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

# 960h

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5325
- Wer: 24.4442
- Cer: 12.0113

## 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: 2700

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.0759        | 1.75  | 500  | 0.7781          | 32.9761 | 16.6493 |
| 0.8049        | 3.51  | 1000 | 0.6552          | 29.8584 | 14.9333 |
| 0.7047        | 5.26  | 1500 | 0.6050          | 27.5232 | 13.6151 |
| 0.6339        | 7.02  | 2000 | 0.5865          | 26.3889 | 13.1279 |
| 0.5331        | 8.77  | 2500 | 0.5325          | 24.4442 | 12.0113 |


### Framework versions

- Transformers 4.39.3
- Pytorch 1.12.1+cu116
- Datasets 2.18.0
- Tokenizers 0.15.2