---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xls-r-300m-Sulaimank
  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-Sulaimank

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1017
- Wer: 0.1013

## 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: 0.0003
- train_batch_size: 64
- 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: 500
- num_epochs: 80
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 3.0012        | 10.8108 | 400  | 0.3243          | 0.4548 |
| 0.1975        | 21.6216 | 800  | 0.1885          | 0.2591 |
| 0.0751        | 32.4324 | 1200 | 0.1590          | 0.1902 |
| 0.0398        | 43.2432 | 1600 | 0.1300          | 0.1520 |
| 0.0221        | 54.0541 | 2000 | 0.1195          | 0.1361 |
| 0.0137        | 64.8649 | 2400 | 0.1034          | 0.1112 |
| 0.0088        | 75.6757 | 2800 | 0.1017          | 0.1013 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1