---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: loso_M12
  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. -->

# loso_M12

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: 0.0778
- Wer: 1.4221

## 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: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 8.3422        | 0.95  | 500  | 3.5867          | 1.0    |
| 2.553         | 1.89  | 1000 | 1.4240          | 2.6174 |
| 0.8451        | 2.84  | 1500 | 0.2177          | 1.6943 |
| 0.2944        | 3.79  | 2000 | 0.1941          | 1.7673 |
| 0.1312        | 4.73  | 2500 | 0.1034          | 1.3669 |
| 0.079         | 5.68  | 3000 | 0.0695          | 1.2722 |
| 0.0457        | 6.63  | 3500 | 0.0778          | 1.4221 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2