---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: xlsr-nm-nor
  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. -->

# xlsr-nm-nor

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3194
- Wer: 0.3191

## 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: 0.0004
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 132
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 4.7474        | 11.1143 | 200  | 2.9646          | 1.0    |
| 2.5674        | 22.2286 | 400  | 1.7315          | 1.0    |
| 0.8551        | 33.3429 | 600  | 0.4517          | 0.4125 |
| 0.2155        | 44.4571 | 800  | 0.3589          | 0.3424 |
| 0.1316        | 55.5714 | 1000 | 0.2728          | 0.3191 |
| 0.0667        | 66.6857 | 1200 | 0.3201          | 0.3735 |
| 0.0466        | 77.8    | 1400 | 0.3268          | 0.3230 |
| 0.0316        | 88.9143 | 1600 | 0.3194          | 0.3191 |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0