---
license: cc-by-nc-4.0
base_model: facebook/mms-1b
tags:
- generated_from_trainer
datasets:
- audiofolder
model-index:
- name: wav2vec2-mms-1b-ikk-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-mms-1b-ikk-1

This model is a fine-tuned version of [facebook/mms-1b](https://huggingface.co/facebook/mms-1b) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.3341
- eval_wer: 0.5501
- eval_runtime: 12.2842
- eval_samples_per_second: 7.978
- eval_steps_per_second: 1.058
- epoch: 7.42
- step: 240

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 12
- 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

### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2