---
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
datasets:
- common_voice_13_0
model-index:
- name: wav2vec2-large-mms-1b-fries-NL_common_voice_13b_other-train-validation
  results: []
---

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# wav2vec2-large-mms-1b-fries-NL_common_voice_13b_other-train-validation

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1520
- eval_wer: 0.1896
- eval_runtime: 232.3788
- eval_samples_per_second: 13.637
- eval_steps_per_second: 1.708
- epoch: 1.72
- step: 23500

## 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: 0.001
- 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: 100
- num_epochs: 2

### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3