---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: seq-xls-r-fleurs_zu-run3-asr_xh-run10
  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. -->

# seq-xls-r-fleurs_zu-run3-asr_xh-run10

This model is a fine-tuned version of [lucas-meyer/xls-r-fleurs_zu-run3](https://huggingface.co/lucas-meyer/xls-r-fleurs_zu-run3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4363
- Wer: 0.4998

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 5.4903        | 1.59  | 250  | 0.9489          | 0.7525 |
| 0.6278        | 3.18  | 500  | 0.4877          | 0.6284 |
| 0.3831        | 4.78  | 750  | 0.4181          | 0.5640 |
| 0.2639        | 6.37  | 1000 | 0.3858          | 0.5018 |
| 0.1961        | 7.96  | 1250 | 0.4228          | 0.4995 |
| 0.1579        | 9.55  | 1500 | 0.4363          | 0.4998 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3