---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: w2v2
  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. -->

# w2v2

This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8860
- Wer: 0.2817

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 5.5664        | 3.07  | 500  | 3.0411          | 0.9997 |
| 2.5607        | 6.13  | 1000 | 1.0770          | 0.3660 |
| 0.9959        | 9.2   | 1500 | 0.8815          | 0.3017 |
| 0.8129        | 12.27 | 2000 | 0.8676          | 0.2915 |
| 0.7334        | 15.34 | 2500 | 0.8381          | 0.2931 |
| 0.669         | 18.4  | 3000 | 0.8802          | 0.2864 |
| 0.6312        | 21.47 | 3500 | 0.8679          | 0.2864 |
| 0.6094        | 24.54 | 4000 | 0.8811          | 0.2802 |
| 0.5987        | 27.61 | 4500 | 0.8860          | 0.2817 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.12.1+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1