---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
datasets:
- common_voice_16_0
base_model: facebook/mms-1b-all
model-index:
- name: runs
  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. -->

# runs

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the common_voice_16_0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1684
- eval_wer: 0.2476
- eval_cer: 0.0432
- eval_runtime: 449.8069
- eval_samples_per_second: 5.985
- eval_steps_per_second: 0.749
- epoch: 10.26
- step: 3000

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 20

### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2