---
license: apache-2.0
tags:
- automatic-speech-recognition
- robust-speech-event
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-hi
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-large-xls-r-300m-hi

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5039
- Wer: 0.8877

## 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: 7.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 9.4071        | 4.76  | 400  | 3.5871          | 1.0    |
| 3.5056        | 9.52  | 800  | 3.4414          | 1.0    |
| 2.9652        | 14.28 | 1200 | 2.1936          | 0.9573 |
| 1.3822        | 19.05 | 1600 | 2.1039          | 0.9157 |
| 0.9906        | 23.81 | 2000 | 2.2512          | 0.8960 |
| 0.8405        | 28.57 | 2400 | 2.2878          | 0.8931 |
| 0.7686        | 33.33 | 2800 | 2.3291          | 0.8884 |
| 0.7092        | 38.09 | 3200 | 2.4806          | 0.8921 |
| 0.6757        | 42.85 | 3600 | 2.4675          | 0.8847 |
| 0.6606        | 47.62 | 4000 | 2.5039          | 0.8877 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.1+cu102
- Datasets 1.17.1.dev0
- Tokenizers 0.10.3


Built during robust-speech-challenge. Will keep updating the same !

Thanks Patrick, Anton for the wonderful event.