---
license: apache-2.0
base_model: smutuvi/wav2vec2-large-xlsr-sw
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xlsr-sw_ndizi_782_without_NF4
  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. -->

# wav2vec2-large-xlsr-sw_ndizi_782_without_NF4

This model is a fine-tuned version of [smutuvi/wav2vec2-large-xlsr-sw](https://huggingface.co/smutuvi/wav2vec2-large-xlsr-sw) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0702
- Wer: 0.4635

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.3466        | 5.97  | 400  | 1.0027          | 0.4830 |
| 0.7355        | 11.94 | 800  | 1.1488          | 0.4873 |
| 0.4853        | 17.91 | 1200 | 1.4337          | 0.4678 |
| 0.3254        | 23.88 | 1600 | 1.5478          | 0.4895 |
| 0.2251        | 29.85 | 2000 | 1.7495          | 0.4736 |
| 0.1674        | 35.82 | 2400 | 1.8199          | 0.4751 |
| 0.1258        | 41.79 | 2800 | 2.0479          | 0.4606 |
| 0.1096        | 47.76 | 3200 | 2.0702          | 0.4635 |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0